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ORCIDBMC Medical Informatics & Decision Making, Volume 23
Volume 23, Number 1, December 2023
- Michael Beil, P. Vernon van Heerden, Dylan W. De Lange, Wojciech Szczeklik, Susannah Leaver, Bertrand Guidet, Hans Flaatten, Christian Jung
, Sigal Sviri, Leo Joskowicz:
Contribution of information about acute and geriatric characteristics to decisions about life-sustaining treatment for old patients in intensive care. 1 - Chethan Jujjavarapu, Pradeep Suri, Vikas Pejaver, Janna Friedly, Laura S. Gold, Eric Meier, Trevor Cohen, Sean D. Mooney, Patrick J. Heagerty, Jeffrey G. Jarvik:
Predicting decompression surgery by applying multimodal deep learning to patients' structured and unstructured health data. 2 - Min-hyung Kim, Sojung Park, Yu Rang Park, Wonjun Ji, Seul-gi Kim, Minji Choo, Seung-sik Hwang, Jae Cheol Lee, Hyeong Ryul Kim, Chang Min Choi:
Stratifying non-small cell lung cancer patients using an inverse of the treatment decision rules: validation using electronic health records with application to an administrative database. 3 - Geir Thore Berge, Ole-Christoffer Granmo, Tor Oddbjørn Tveit, Bjørn Erik Munkvold, Anna Linda Ruthjersen, Jivitesh Sharma:
Machine learning-driven clinical decision support system for concept-based searching: a field trial in a Norwegian hospital. 5 - Abdollah Safari, John Petkau, Mark J. FitzGerald, Mohsen Sadatsafavi:
A parametric model to jointly characterize rate, duration, and severity of exacerbations in episodic diseases. 6 - Jie Zhang, Zong-ming Zhang:
Ethics and governance of trustworthy medical artificial intelligence. 7 - Hoda Abbasizanjani, Fatemeh Torabi, Stuart Bedston, Thomas Bolton, Gareth Davies, Spiros C. Denaxas, Rowena Griffiths, Laura Herbert, Sam Hollings, Spencer Keene, Kamlesh Khunti, Emily Lowthian, Jane Lyons, Mehrdad A. Mizani, John Nolan, Cathie Sudlow, Venexia Walker, William Whiteley, Angela Wood, Ashley Akbari:
Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration. 8 - Shimels Derso Kebede, Yakub Sebastian, Abraham Yeneneh, Ashenafi Fentahun Chanie, Mequannent Sharew Melaku, Agmasie Damtew Walle:
Prediction of contraceptive discontinuation among reproductive-age women in Ethiopia using Ethiopian Demographic and Health Survey 2016 Dataset: A Machine Learning Approach. 9 - Azadeh Bashiri, Mohammad Shirdeli, Fatemeh Niknam, Soheila Naderi, Sahar Zare:
Evaluating the success of Iran Electronic Health Record System (SEPAS) based on the DeLone and McLean model: a cross-sectional descriptive study. 10 - Mushtaq Hussain, Mehmet Akif Cifci, Tayyaba Sehar, Said Nabi, Omar Cheikhrouhou, Hasaan Maqsood, Muhammad Ibrahim, Fida Mohammad:
Machine learning based efficient prediction of positive cases of waterborne diseases. 11 - Ricardo M. S. Carvalho, Daniela Oliveira, Catia Pesquita:
Knowledge Graph Embeddings for ICU readmission prediction. 12 - Na Liang, Chengliang Wang, Shiying Li, Xin Xie, Jun Lin, Wen Zhong:
The classification of flash visual evoked potential based on deep learning. 13 - Aynaz Nourani, Haleh Ayatollahi, Masoud Solaymani-Dodaran:
Data management system for diabetes clinical trials: a pre-post evaluation study. 14 - Chao Mao, Quanjing Zhu, Rong Chen, Weifeng Su:
Automatic medical specialty classification based on patients' description of their symptoms. 15 - Soheila Saeedi, Sorayya Rezayi, Hamidreza Keshavarz, Sharareh R. Niakan Kalhori:
MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques. 16 - Alireza Banaye Yazdipour, Soheila Saeedi, Hassan Bostan, Hoorie Masoorian, Hasan Sajjadi, Marjan Ghazisaeedi:
Opportunities and challenges of virtual reality-based interventions for patients with breast cancer: a systematic review. 17 - Amir Torab-Miandoab, Taha Samad-Soltani, Ahmadreza Jodati, Peyman Rezaei-Hachesu:
Interoperability of heterogeneous health information systems: a systematic literature review. 18 - Benjamin Lieberman, Jude Dzevela Kong, Roy Gusinow, Ali Asgary, Nicola Luigi Bragazzi, Joshua Choma, Salah-Eddine Dahbi, Kentaro Hayashi, Deepak Kar, Mary Kawonga, Mduduzi Mbada, Kgomotso Monnakgotla, James Orbinski, Xifeng Ruan, Finn Stevenson, Jianhong Wu, Bruce Mellado:
Big data- and artificial intelligence-based hot-spot analysis of COVID-19: Gauteng, South Africa, as a case study. 19 - Shaina Raza, Brian Schwartz:
Entity and relation extraction from clinical case reports of COVID-19: a natural language processing approach. 20 - Fahimeh Kharaman-nia, Habibolah Rezaei, Narges Roustaei, Peyman Etemadfar, Nazafarin Hosseini:
Comparing the effects of self- care education by lecture and smartphone application on self-efficacy of patients with thalassemia. 21 - Dan Thorpe, Jörg Strobel, Niranjan Bidargaddi:
Examining clinician choice to follow-up (or not) on automated notifications of medication non-adherence by clinical decision support systems. 22 - Fatemeh Bagheri, Faezeh Abbasi, Mojtaba Sadeghi, Reza Khajouei:
Evaluating the usability of a cancer registry system using Cognitive Walkthrough, and assessing user agreement with its problems. 23 - Quang Huy Nguyen, Damien K. Ming, An Phuoc Luu, Ho Q. Chanh, Dong Thi Hoai Tam, Nguyen Thanh Truong, Vo Xuan Huy, Bernard Hernandez, Jennifer Ilo Van Nuil, Chris Paton, Pantelis Georgiou, Nguyet Minh Nguyen, Alison H. Holmes, Phan Vinh Tho, Sophie Yacoub:
Mapping patient pathways and understanding clinical decision-making in dengue management to inform the development of digital health tools. 24 - Pontus Olsson de Capretz, Anders Björkelund, Jonas Björk, Mattias Ohlsson, Arash Mokhtari, Axel Nyström, Ulf Ekelund:
Machine learning for early prediction of acute myocardial infarction or death in acute chest pain patients using electrocardiogram and blood tests at presentation. 25 - Yasuhiko Miyachi, Osamu Ishii, Keijiro Torigoe:
Design, implementation, and evaluation of the computer-aided clinical decision support system based on learning-to-rank: collaboration between physicians and machine learning in the differential diagnosis process. 26 - Pinar Tokgöz, Jessica Hafner, Christoph Dockweiler:
Factors influencing the implementation of decision support systems for antibiotic prescription in hospitals: a systematic review. 27 - Donghyeong Seong, Yoon Ho Choi, Soo Young Shin, Byoung-Kee Yi:
Deep learning approach to detection of colonoscopic information from unstructured reports. 28 - Charlotte James, Richard Wood, Rachel Denholm:
A multi-granular stacked regression for forecasting long-term demand in Emergency Departments. 29 - Kidane Tadesse Gebremariam, Afework Mulugeta, Danielle Gallegos:
Co-design and implementation of a mHealth intervention targeting fathers and mothers to improve breastfeeding. 30 - Orivaldo Alves Barbosa, Edgar Marçal, David Augusto Batista Sá Araújo, Lucas Severo Melo, Hermano Alexandre Lima Rocha:
Development and perceived usability evaluation of an interactive smartphone application for the teaching of hemodynamics and evaluation of arterial pulse pressure variation. 31 - Li hua, Mu Dongmei, Yang Xinyu, Zhang Xinyue, Wang Shutong, Wang Dongxuan, Peng Hao, Wang Ying:
Research on outpatient capacity planning combining lean thinking and integer linear programming. 32 - Yimin Cai, Yuqing Long, Zhenggong Han, Mingkun Liu, Yuchen Zheng, Wei Yang, Liming Chen:
Swin Unet3D: a three-dimensional medical image segmentation network combining vision transformer and convolution. 33 - Qi Ye, Tingting Cai, Xiang Ji, Tong Ruan, Hong Zheng:
Subsequence and distant supervision based active learning for relation extraction of Chinese medical texts. 34 - Amir Torab-Miandoab, Mehdi Poursheikh Asghari, Nastaran Hashemzadeh, Reza Ferdousi:
Analysis and identification of drug similarity through drug side effects and indications data. 35 - Albert Burger, Richard A. Baldock, David J. Adams, Shahida Din, Irene Papatheodorou, Michael Glinka, Bill Hill, Derek Houghton, Mehran Sharghi, Michael N. Wicks, Mark J. Arends:
Towards a clinically-based common coordinate framework for the human gut cell atlas: the gut models. 36 - Nevin Hammam, Ali Bakhiet, Eiman Abd El-Latif, Iman I. El-Gazzar, Nermeen Samy, Rasha A. Abdel Noor, Emad El-Shebeiny, Amany R. El-Najjar, Nahla N. Eesa, Mohamed N. Salem, Soha E. Ibrahim, Dina F. El-Essawi, Ahmed M. Elsaman, Hanan M. Fathi, Rehab A. Sallam, Rawhya R. El Shereef, Faten Ismail, Mervat I. Abd-Elazeem, Emtethal A. Said, Noha M. Khalil, Dina Shahin, Hanan M. El-Saadany, Marwa ElKhalifa, Samah I. Nasef, Ahmed M. Abdalla, Nermeen Noshy, Rasha M. Fawzy, Ehab Saad, Abdelhafeez Moshrif, Amira T. El-Shanawany, Yousra H. Abdel-Fattah, Hossam Mohammad Khalil, Osman Hammam, Aly Ahmed Fathy, Tamer A. Gheita:
Development of machine learning models for detection of vision threatening Behçet's disease (BD) using Egyptian College of Rheumatology (ECR)-BD cohort. 37 - Sarah Sauchelli, Tim Pickles, Alexandra Voinescu, Heungjae Choi, Ben Sherlock, Jingjing Zhang, Steffi L. Colyer, Sabrina Grant, Sethu Sundari, Gemma Lasseter:
Public attitudes towards the use of novel technologies in their future healthcare: a UK survey. 38 - Miho Fujita, Yuki Yonekura, Kazuhiro Nakayama:
The factors affecting implementing shared decision-making in clinical trials: a cross-sectional survey of clinical research coordinators' perceptions in Japan. 39 - Vipina Kuttichi Keloth, Shuxin Zhou, Luke Lindemann, Ling Zheng, Gai Elhanan, Andrew J. Einstein, James Geller, Yehoshua Perl:
Mining of EHR for interface terminology concepts for annotating EHRs of COVID patients. 40 - Ajit Narayanan, Wendy L. Magee, Richard J. Siegert:
Machine learning and network analysis for diagnosis and prediction in disorders of consciousness. 41 - Ruth Pel-Littel, Bianca M. Buurman, Marjolein H. van de Pol, Jos W. R. Twisk, Linda R. Tulner, Mirella M. Minkman, Wilma J. M. Scholte op Reimer, Julia C. M. van Weert:
Effects of a shared decision making intervention for older adults with multiple chronic conditions: the DICO study. 42 - Chao Yu, Qikai Huang:
Towards more efficient and robust evaluation of sepsis treatment with deep reinforcement learning. 43 - Yang Hu, Jasmine Huerta, Nicholas Cordella, Rebecca Grochow Mishuris, Ioannis Ch. Paschalidis:
Personalized hypertension treatment recommendations by a data-driven model. 44 - Mahboobeh Parsapoor, Muhammad Raisul Alam, Alex Mihailidis:
Performance of machine learning algorithms for dementia assessment: impacts of language tasks, recording media, and modalities. 45 - Ganesh Raman, Bilal Ashraf, Yusuf Kemal Demir, Corey D. Kershaw, Sreekanth Cheruku, Murat Atis, Ahsen Atis, Mustafa Atar, Weina Chen, Ibrahim Ibrahim, Taha Bat, Mutlu Mete:
Machine learning prediction for COVID-19 disease severity at hospital admission. 46 - Jyu-Lin Chen, Chen-Xi Lin, Mijung Park, Jerry John Nutor, Rosalind de Lisser, Thomas J. Hoffmann, Hannah J. Kim:
Rapid response nursing triage outcomes for COVID-19: factors associated with patient's participation in triage recommendations. 47 - Andrey G. Reshetnikov, Vitalii Berdutin, Alexander Zaporozhtsev, Sergey Romanov, Olga Abaeva, Nadezhda Prisyazhnaya, Nadezhda Vyatkina:
Predictive algorithm for the regional spread of coronavirus infection across the Russian Federation. 48 - Rui Chen, Shengfa Zhang, Jie Li, Dongwei Guo, Weijun Zhang, Xiaoying Wang, Donghua Tian, Zhiyong Qu, Xiaohua Wang:
A study on predicting the length of hospital stay for Chinese patients with ischemic stroke based on the XGBoost algorithm. 49 - Ying Xing, Xuekai Liu, Juhua Dai, Xiaoxing Ge, Qingchen Wang, Ziyu Hu, Zhicheng Wu, Xuehui Zeng, Dan Xu, Chenxue Qu:
Artificial intelligence of digital morphology analyzers improves the efficiency of manual leukocyte differentiation of peripheral blood. 50 - Geletaw Sahle Tegenaw, Demisew Amenu, Girum Ketema, Frank Verbeke, Jan Cornelis, Bart Jansen:
Evaluating a clinical decision support point of care instrument in low resource setting. 51 - Sergio Zepeda-Gómez, Andrea Dávila-Cervantes, Aldo J. Montaño-Loza, David Yang, Daniel C. Baumgart, Karen I. Kroeker, Brendan P. Halloran:
A novel smartphone application for the tracking of procedural numbers and trainee experience in gastrointestinal endoscopy. 52 - Cheng-Mao Zhou, Ying Wang, Jian-Jun Yang, Yu Zhu:
Predicting postoperative gastric cancer prognosis based on inflammatory factors and machine learning technology. 53 - Mohammad Reza Afrash, Esmat Mirbagheri, Mehrnaz Mashoufi, Hadi Kazemi-Arpanahi:
Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study. 54 - Qing Li, Song He:
Similarity matching of medical question based on Siamese network. 55 - Ji Hoon Kim, Bomgyeol Kim, Min Joung Kim, Heejung Hyun, Hyeon Chang Kim, Hyuk-Jae Chang:
Prediction of inappropriate pre-hospital transfer of patients with suspected cardiovascular emergency diseases using machine learning: a retrospective observational study. 56 - Tamara L. Morgan, Jensen Pletch, Emma Faught, Michelle S. Fortier, Mary Kate Gazendam, Kelly Howse, Rahul Jain, Kirstin N. Lane, Kaleigh Maclaren, Taylor McFadden, Jeanette C. Prorok, Zachary J. Weston, Jennifer R. Tomasone:
Developing and testing the usability, acceptability, and future implementation of the Whole Day Matters Tool and User Guide for primary care providers using think-aloud, near-live, and interview procedures. 57 - Baiming Zou, Xinlei Mi, Elizabeth Stone, Fei Zou:
A deep neural network framework to derive interpretable decision rules for accurate traumatic brain injury identification of infants. 58 - Xiaoya Lu, Hang Qiu:
Explainable prediction of daily hospitalizations for cerebrovascular disease using stacked ensemble learning. 59 - Omid Mehrpour, Farhad Saeedi, Samaneh Nakhaee, Farbod Tavakkoli Khomeini, Ali Hadianfar, Alireza Amirabadizadeh, Christopher Hoyte:
Comparison of decision tree with common machine learning models for prediction of biguanide and sulfonylurea poisoning in the United States: an analysis of the National Poison Data System. 60 - Liang Shen, You Zhai, Xiang Pan, Qingwei Zhao, Min Zhou, Jian Liu:
Development of an integrated and comprehensive clinical trial process management system. 61 - Jiangtao Lu, Kaibiao Lin, Ruicong Chen, Min Lin, Xin Chen, Ping Lu:
Health insurance fraud detection by using an attributed heterogeneous information network with a hierarchical attention mechanism. 62 - Markus Huber, Patrick Schober, Sven Petersen, Markus M. Luedi:
Decision curve analysis confirms higher clinical utility of multi-domain versus single-domain prediction models in patients with open abdomen treatment for peritonitis. 63 - Shaode Yu, Mingxue Jin, Tianhang Wen, Linlin Zhao, Xuechao Zou, Xiaokun Liang, Yaoqin Xie, Wanlong Pan, Chenghao Piao:
Accurate breast cancer diagnosis using a stable feature ranking algorithm. 64 - Rebecca Rayner, Joanne Shaw, Caroline Hunt:
Development and user testing of a patient decision aid for cancer patients considering treatment for anxiety or depression. 65 - Rosie Dobson, Helen Wihongi, Robyn Whittaker:
Exploring patient perspectives on the secondary use of their personal health information: an interview study. 66 - Dimislav Ivanov Andonov, Bernhard Ulm, Martin Graessner, Armin Horst Podtschaske, Manfred Blobner, Bettina Jungwirth, Simone Maria Kagerbauer:
Impact of the Covid-19 pandemic on the performance of machine learning algorithms for predicting perioperative mortality. 67 - Aaron C. Miller, Joseph E. Cavanaugh, Alan T. Arakkal, Scott H. Koeneman, Philip M. Polgreen:
A comprehensive framework to estimate the frequency, duration, and risk factors for diagnostic delays using bootstrapping-based simulation methods. 68 - Mingxuan Jia, Jieyi Li, Jingying Zhang, Ningjing Wei, Yating Yin, Hui Chen, Shixing Yan, Yong Wang:
Identification and validation of cuproptosis related genes and signature markers in bronchopulmonary dysplasia disease using bioinformatics analysis and machine learning. 69 - Mariana Oliveira, Joana Seringa, Fausto José Pinto, Roberto Henriques, Teresa Magalhães:
Machine learning prediction of mortality in Acute Myocardial Infarction. 70 - Shu-gen Xiao, Fan Liu, Liyuan Yu, Xiaopei Li, Xihong Ye, Xingrui Gong:
Development and validation of a nomogram for blood transfusion during intracranial aneurysm clamping surgery: a retrospective analysis. 71 - Kamran Mehrabani-Zeinabad, Awat Feizi, Masoumeh Sadeghi, Hamidreza Roohafza, Mohammad Talaei, Nizal Sarrafzadegan:
Cardiovascular disease incidence prediction by machine learning and statistical techniques: a 16-year cohort study from eastern Mediterranean region. 72 - Aurelia Sauerbrei, Angeliki Kerasidou, Federica Lucivero, Nina Hallowell:
The impact of artificial intelligence on the person-centred, doctor-patient relationship: some problems and solutions. 73 - Xuhai Zhao, Cong Jiang:
The prediction of distant metastasis risk for male breast cancer patients based on an interpretable machine learning model. 74 - Daniel Niguse Mamo, Tesfahun Melese Yilma, Makida Fekadie, Yakub Sebastian, Tilahun Bizuayehu, Mequannent Sharew Melaku, Agmasie Damtew Walle:
Machine learning to predict virological failure among HIV patients on antiretroviral therapy in the University of Gondar Comprehensive and Specialized Hospital, in Amhara Region, Ethiopia, 2022. 75 - Dongmei Tang, Haiyan Wang, Dantong Gu, Lei Ye, Shan Sun, Huawei Li:
The fudan tinnitus relieving system application for tinnitus management. 76 - Ehsan Nabovati, Mehrdad Farzandipour, Zahra Vahedpoor, Hossein Akbari, Shima Anvari, Reihane Sharif, Farhad Fatehi:
Pregnant women's use and attitude toward Mobile phone features for self-management. 77 - Mukul Aggarwal, Amod Kumar Tiwari, M. Partha Sarathi, Anchit Bijalwan:
An early detection and segmentation of Brain Tumor using Deep Neural Network. 78 - Yifei Wang, Julia Xu, Jie Zhang, Hong Xu, Yuzhong Sun, Yuan Miao, Tiancai Wen:
SIAP: an intelligent algorithm for multiple prescription pattern recognition based on weighted similarity distances. 79 - Bowen Wang, Liangzhi Li, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara:
Real-time estimation of the remaining surgery duration for cataract surgery using deep convolutional neural networks and long short-term memory. 80 - Tianlai Lin, Xinjue Zhang, Jianbing Gong, Rundong Tan, Weiming Li, Lijun Wang, Yingxia Pan, Xiang Xu, Junhui Gao:
A dosing strategy model of deep deterministic policy gradient algorithm for sepsis patients. 81 - Yating Zhong, Yuzhong Peng, Yanmei Lin, Dingjia Chen, Hao Zhang, Wen Zheng, Yuanyuan Chen, Changliang Wu:
MODILM: towards better complex diseases classification using a novel multi-omics data integration learning model. 82 - Sherine Sandhu, Martha Hickey, Raelia Lew, Karin Hammarberg, Sabine Braat, Franca Agresta, Anna Parle, Catherine Allingham, William Ledger, Jane Fisher, Louise Johnson, Janet Michelmore, Fiona Summers, Roger Hart, Robert J. Norman, Devora Lieberman, Richard A. Anderson, Michelle Peate:
The development and phase 1 evaluation of a Decision Aid for elective egg freezing. 83 - Maryam Seyedtabib, Naser Kamyari:
Predicting polypharmacy in half a million adults in the Iranian population: comparison of machine learning algorithms. 84 - Rudolf N. Cardinal, Anna Moore, Martin Burchell, Jonathan R. Lewis:
De-identified Bayesian personal identity matching for privacy-preserving record linkage despite errors: development and validation. 85 - Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Arlene Casey, Emma M. Davidson, Jiaoyan Chen, Beatrice Alex, William Whiteley, Honghan Wu:
Ontology-driven and weakly supervised rare disease identification from clinical notes. 86 - Xubing Hao, Rashmie Abeysinghe, Kirk Roberts, Licong Cui:
Logical definition-based identification of potential missing concepts in SNOMED CT. 87 - Ling Zheng, Yehoshua Perl, Yongqun He:
Big knowledge visualization of the COVID-19 CIDO ontology evolution. 88 - Arthur Mai, Karen Voigt, Jeannine Schübel, Felix Gräßer:
A drug recommender system for the treatment of hypertension. 89 - Shuxin Zhang, Nirupama Benis, Ronald Cornet:
Automated approach for quality assessment of RDF resources. 90 - Petra V. Lostelius, Magdalena Mattebo, Eva Thors Adolfsson, Anne Söderlund, Mikael Andersén, Sofia Vadlin, Åsa Revenäs:
Development and usability evaluation of an electronic health report form to assess health in young people: a mixed-methods approach. 91 - Peng Sun, Zengnan Mo, Fangrong Hu, Xin Song, Taiping Mo, Bonan Yu, Yewei Zhang, Zhencheng Chen:
2.5D MFFAU-Net: a convolutional neural network for kidney segmentation. 92 - Tongtong Huang, Linda T. Li, Elmer V. Bernstam, Xiaoqian Jiang:
Confidence-based laboratory test reduction recommendation algorithm. 93 - Marcel Parciak, Markus Suhr, Christian Schmidt, Caroline Bönisch, Benjamin Löhnhardt, Dorothea Kesztyüs, Tibor Kesztyüs:
FAIRness through automation: development of an automated medical data integration infrastructure for FAIR health data in a maximum care university hospital. 94 - Motti Haimi:
The tragic paradoxical effect of telemedicine on healthcare disparities- a time for redemption: a narrative review. 95 - Wenna Chen, Yixing Wang, Yuhao Ren, Hongwei Jiang, Ganqin Du, Jincan Zhang, Jinghua Li:
An automated detection of epileptic seizures EEG using CNN classifier based on feature fusion with high accuracy. 96 - Pieter Van Bostraeten, Bert Aertgeerts, Geertruida Bekkering, Nicolas Delvaux, Anna Haers, Matisse Vanheeswyck, Alexander Vandekendelaere, Niels Van der Auwera, Charlotte Dijckmans, Elise Ostyn, Willem Soontjens, Wout Matthysen, Noémie Schenk, Lien Mertens, Jasmien Jaeken, Thomas Agoritsas, Mieke Vermandere:
Digital encounter decision aids linked to clinical practice guidelines: results from user testing SHARE-IT decision aids in primary care. 97 - Getahun Mulugeta, Temesgen Zewotir, Awoke Seyoum Tegegne, Leja Hamza Juhar, Mahteme Bekele Muleta:
Classification of imbalanced data using machine learning algorithms to predict the risk of renal graft failures in Ethiopia. 98 - Dejia Zhou, Hang Qiu, Liya Wang, Minghui Shen:
Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning. 99 - Claudia Luck-Sikorski, Regine Hochrein, Nina Döllinger, Carolin Wienrich, Kathrin Gemesi, Sophie L. Holzmann, Christina Holzapfel, Natascha-Alexandra Weinberger:
Digital communication and virtual reality for extending the behavioural treatment of obesity - the patients' perspective: results of an online survey in Germany. 100 - Gamal Saad Mohamed Khamis, Sultan Munadi Alanazi:
Exploring sex disparities in cardiovascular disease risk factors using principal component analysis and latent class analysis techniques. 101 - Omid Mehrpour, Christopher Hoyte, Samaneh Nakhaee, Bruno Megarbane, Foster Goss:
Using a decision tree algorithm to distinguish between repeated supra-therapeutic and acute acetaminophen exposures. 102 - Tayebeh Baniasadi, Mehdi Hassaniazad, Sharareh Rostam Niakan Kalhori, Mehraban Shahi, Marjan Ghazisaeedi:
Developing a mobile health application for wound telemonitoring: a pilot study on abdominal surgeries post-discharge care. 103 - Xiaoquan Gao, Sabriya Alam, Pengyi Shi, Franklin Dexter, Nan Kong:
Interpretable machine learning models for hospital readmission prediction: a two-step extracted regression tree approach. 104 - Jatin Goyal, Ding Quan Ng, Kevin Zhang, Alexandre Chan, Joyce Lee, Kai Zheng, Keri Hurley-Kim, Lee Nguyen, Lu He, Megan Nguyen, Sarah McBane, Wei Li, Christine Luu Cadiz:
Using machine learning to develop a clinical prediction model for SSRI-associated bleeding: a feasibility study. 105 - Saman Mortezaei, Reza Rabiei, Farkhondeh Asadi, Hassan Emami:
Development and usability evaluation of a mHealth application for albinism self-management. 106 - Xiuliang Guan, Yue Du, Rufei Ma, Nan Teng, Shu Ou, Hui Zhao, Xiaofeng Li:
Construction of the XGBoost model for early lung cancer prediction based on metabolic indices. 107 - Koen Welvaars, Michel P. J. van den Bekerom, Job N. Doornberg, Ernst P. van Haarst, J. A. van der Zee, G. A. van Andel, B. W. Lagerveld, M. C. Hovius, P. C. Kauer, L. M. S. Boevé:
Evaluating machine learning algorithms to Predict 30-day Unplanned REadmission (PURE) in Urology patients. 108 - Stephen P. Fortin, Jenna Reps, Patrick B. Ryan:
Correction to: Adaptation and validation of a coding algorithm for the Charlson Comorbidity Index in administrative claims data using the SNOMED CT standardized vocabulary. 109 - Ashwini Venkatasubramaniam, Bilal A. Mateen, Beverley M. Shields, Andrew T. Hattersley, Angus G. Jones, Sebastian J. Vollmer, John M. Dennis:
Comparison of causal forest and regression-based approaches to evaluate treatment effect heterogeneity: an application for type 2 diabetes precision medicine. 110 - Lena Josfeld, Jutta Huebner:
Development and analysis of quality assessment tools for different types of patient information - websites, decision aids, question prompt lists, and videos. 111 - Maryam Seyedtabib, Naser Kamyari:
Correction to: Predicting polypharmacy in half a million adults in the Iranian population: comparison of machine learning algorithms. 112 - Catherine R. McGowan, Promise Ekoriko, Mervat Alhaffar, Sarah Cassidy-Seyoum, Steven Whitbread, Phil Rogers, Lucy Bell, Francesco Checchi:
Design and implementation of a web-based, respondent-driven sampling solution. 113 - Björn Büdenbender, Anja K. Köther, Maximilian C. Kriegmair, Britta Grüne, Maurice S. Michel, Georg W. Alpers:
Getting specific: participation preference in urooncological decision-making. 114 - Jianfeng Yu, Kai Qiu, Pengju Wang, Caixia Su, Yufeng Fan, Yongfeng Cao:
Perturbing BEAMs: EEG adversarial attack to deep learning models for epilepsy diagnosing. 115 - Azamossadat Hosseini, Hassan Emami, Yousef Sadat, Somayeh Paydar:
Integrated personal health record (PHR) security: requirements and mechanisms. 116 - Thomas Monks, Alison Harper, Michael Allen, Lucy Collins, Andrew Mayne:
Forecasting the daily demand for emergency medical ambulances in England and Wales: a benchmark model and external validation. 117 - Robin Glauser, Jürgen Holm, Matthias Bender, Thomas Bürkle:
How can social robot use cases in healthcare be pushed - with an interoperable programming interface. 118 - Ayako Maeda-Minami, Tetsuhiro Yoshino, Tetsuro Yumoto, Kayoko Sato, Atsunobu Sagara, Kenjiro Inaba, Hidenori Kominato, Takao Kimura, Tetsuya Takishita, Gen Watanabe, Tomonori Nakamura, Yasunari Mano, Yuko Horiba, Kenji Watanabe, Junzo Kamei:
Development of a novel drug information provision system for Kampo medicine using natural language processing technology. 119 - Fan Su, Jianqian Chao, Pei Liu, Bowen Zhang, Na Zhang, Zongyu Luo, Jiaying Han:
Prognostic models for breast cancer: based on logistics regression and Hybrid Bayesian Network. 120 - Daniel Riskin, Roger Cady, Anand Shroff, Nada A. Hindiyeh, Timothy Smith, Steven Kymes:
Using artificial intelligence to identify patients with migraine and associated symptoms and conditions within electronic health records. 121 - Sridevi K. Subramanya, Rui Li, Ying Wang, Hiroshi Miyamoto, Feng Cui:
Deep learning for histopathological segmentation of smooth muscle in the urinary bladder. 122 - Elahe Gozali, Reza Safdari, Bahlol Rahimi, Marjan Ghazisaeedi, Hamid Reza Farrokh Eslamlou, Malihe Sadeghi:
Designing and evaluating the children's developmental motor disorders system: an experience from a developing country. 123 - Farhang Hosseini, Farkhondeh Asadi, Hassan Emami, Mahdi Ebnali:
Machine learning applications for early detection of esophageal cancer: a systematic review. 124 - Xiaosheng Li, Yue Chen, Anlong Sun, Ying Wang, Yao Liu, Haike Lei:
Development and validation of prediction model for overall survival in patients with lymphoma: a prospective cohort study in China. 125 - Jie Cai, Shenglin Chen, Siyun Guo, Sui-Dong Wang, Lintong Li, Xiaotong Liu, Keming Zheng, Yudong Liu, Shiling Chen:
RegEMR: a natural language processing system to automatically identify premature ovarian decline from Chinese electronic medical records. 126 - Jun Gong, Yalian Zhang, Xiaogang Zhong, Yi Zhang, Yanhua Chen, Huilai Wang:
Liver function test indices-based prediction model for post-stroke depression: a multicenter, retrospective study. 127 - Weidan Cao, Lang Li, Puneet Mathur, John Thompson, M. Wesley Milks:
A mobile health application for patients eligible for statin therapy: app development and qualitative feedback on design and usability. 128 - Ali Sharifi-Kia, Azin Nahvijou, Abbas Sheikhtaheri:
Machine learning-based mortality prediction models for smoker COVID-19 patients. 129 - Mahdi Shaeri, Nasser Shoeibi, Seyedeh Maryam Hosseini, Fatemeh Rangraz Jeddi, Razieh Farrahi, Ehsan Nabovati, Azam Salehzadeh:
An intelligent decision support system for acute postoperative endophthalmitis: design, development and evaluation of a smartphone application. 130 - Yan Chu, Kaichen Tang, Yu-Chun Hsu, Tongtong Huang, Dulin Wang, Wentao Li, Sean I. Savitz, Xiaoqian Jiang, Shayan Shams:
Non-invasive arterial blood pressure measurement and SpO2 estimation using PPG signal: a deep learning framework. 131 - Christopher Meaney, Therese A. Stukel, Peter C. Austin, Rahim Moineddin, Michelle Greiver, Michael D. Escobar:
Quality indices for topic model selection and evaluation: a literature review and case study. 132 - Wenqian Wei, Zhefei Cai, Lei Chen, Weijie Yuan, Yingle Fan, Shu Rong:
Short-term prognostic models for severe acute kidney injury patients receiving prolonged intermittent renal replacement therapy based on machine learning. 133 - Zihao Fan, Zhi Du, Jinrong Fu, Ying Zhou, Pengyu Zhang, Chuning Shi, Yingxian Sun:
Comparing the performance of machine learning and conventional models for predicting atherosclerotic cardiovascular disease in a general Chinese population. 134 - Tatsuya Ogawa, Shuhei Fujimoto, Kyohei Omon, Tomoya Ishigaki, Shu Morioka:
Shared decision-making in physiotherapy: a cross-sectional study of patient involvement factors and issues in Japan. 135 - Hui Peng, Zhichang Zhang, Dan Liu, Xiaohui Qin:
Chinese medical entity recognition based on the dual-branch TENER model. 136 - Fuliang Yi, Hui Yang, Durong Chen, Yao Qin, Hongjuan Han, Jing Cui, Wenlin Bai, Yifei Ma, Rong Zhang, Hongmei Yu:
XGBoost-SHAP-based interpretable diagnostic framework for alzheimer's disease. 137 - Kuang-Ming Kuo, Paul C. Talley, Chao-Sheng Chang:
The accuracy of artificial intelligence used for non-melanoma skin cancer diagnoses: a meta-analysis. 138 - Annisa Darmawahyuni, Siti Nurmaini, Muhammad Naufal Rachmatullah, Prazna Paramitha Avi, Samuel Benedict Putra Teguh, Ade Iriani Sapitri, Bambang Tutuko, Firdaus:
Improved delineation model of a standard 12-lead electrocardiogram based on a deep learning algorithm. 139 - Randi E. Foraker, Crystal Phommasathit, Kaleigh Clevenger, Clara Lee, Jessica Boateng, Napiera Shareef, Mary C. Politi:
Using the sociotechnical model to conduct a focused usability assessment of a breast reconstruction decision tool. 140 - Peera Liewlom:
Descriptive forest: experiments on a novel tree-structure-generalization method for describing cardiovascular diseases. 141 - Jue Wang, Ming Jing Yin, Han Chun Wen:
Prediction performance of the machine learning model in predicting mortality risk in patients with traumatic brain injuries: a systematic review and meta-analysis. 142 - Carl-Fredrik Bassøe:
A universal diagnosis syntax. 143 - Dania Schütze, Svea Holtz, Michaela C. Neff, Susanne M. Köhler, Jannik Schaaf, Lena S. Frischen, Brita Sedlmayr, Beate S. Müller:
Requirements analysis for an AI-based clinical decision support system for general practitioners: a user-centered design process. 144 - Hamidreza Abtahi, Leila Shahmoradi, Shahideh Amini, Marsa Gholamzadeh:
Design and evaluation of a Mobile-Based decision support system to enhance lung transplant candidate assessment and management: knowledge translation integrated with clinical workflow. 145 - Xiaoyang Lian, Juanzhi Qi, Mengqian Yuan, Xiaojie Li, Ming Wang, Gang Li, Tao Yang, Jingchen Zhong:
Study on risk factors of diabetic peripheral neuropathy and establishment of a prediction model by machine learning. 146 - V. Roberts, Patrice Carter, P. Barnett, M. D. Mugglestone, S. Pilling:
Committee experiences of using formal consensus in healthcare guidelines: a longitudinal qualitative study. 147 - Chang Jian, Siqi Chen, Zhuangcheng Wang, Yang Zhou, Yang Zhang, Ziyu Li, Jie Jian, Tingting Wang, Tianyu Xiang, Xiao Wang, Yuntao Jia, Huilai Wang, Jun Gong:
Predicting delayed methotrexate elimination in pediatric acute lymphoblastic leukemia patients: an innovative web-based machine learning tool developed through a multicenter, retrospective analysis. 148 - Trevor A. Lentz, Byron F. Stephens, Amir M. Abtahi, Jacob Schwarz, Andrew J. Schoenfeld, Bethany A. Rhoten, Shannon Block, Alex O'Brien, Kristin R. Archer:
Leveraging web-based prediction calculators to set patient expectations for elective spine surgery: a qualitative study to inform implementation. 149 - Lisa Graf, Falko Tesch, Felix Gräßer, Lorenz Harst, Doreen Siegels, Jochen Schmitt, Susanne Abraham:
Acceptance of a digital therapy recommender system for psoriasis. 150 - Xubing Hao, Xiaojin Li, Guo-Qiang Zhang, Cui Tao, Paul E. Schulz, Licong Cui:
An ontology-based approach for harmonization and cross-cohort query of Alzheimer's disease data resources. 151 - Alexander Olza, Eduardo Millán, María Xosé Rodríguez-Álvarez:
Development and validation of predictive models for unplanned hospitalization in the Basque Country: analyzing the variability of non-deterministic algorithms. 152 - Francesco Taglino, Fabio Cumbo, Giulia Antognoli, Ivan Arisi, Mara D'Onofrio, Federico Perazzoni, Roger Voyat, Giulia Fiscon, Federica Conte, Marco Canevelli, Giuseppe Bruno, Patrizia Mecocci, Paola Bertolazzi:
An ontology-based approach for modelling and querying Alzheimer's disease data. 153 - Hyun Kyoung Kim:
The protocol of DECO-MOM: a clinical trial testing the effectiveness of a mobile application for an environmental health intervention among pregnant women. 154 - Yu Xin, Hongxu Li, Yuxin Zhou, Qing Yang, Wenjing Mu, Han Xiao, Zipeng Zhuo, Hongyu Liu, Hongying Wang, Xutong Qu, Changsong Wang, Haitao Liu, Kaijiang Yu:
The accuracy of artificial intelligence in predicting COVID-19 patient mortality: a systematic review and meta-analysis. 155 - Ying Shi, Guangming Zhang, Chiye Ma, Jiading Xu, Kejia Xu, Wenyi Zhang, Jianren Wu, Liling Xu:
Machine learning algorithms to predict intraoperative hemorrhage in surgical patients: a modeling study of real-world data in Shanghai, China. 156 - Xinyan Liu, Erin F. Barreto, Yue Dong, Chang Liu, Xiaolan Gao, Mohammad Samie Tootooni, Xuan Song, Kianoush B. Kashani:
Discrepancy between perceptions and acceptance of clinical decision support Systems: implementation of artificial intelligence for vancomycin dosing. 157 - Edmond Li, Olivia Lounsbury, Jonathan M. Clarke, Hutan Ashrafian, Ara Darzi, Ana Luísa Neves:
Perceptions of chief clinical information officers on the state of electronic health records systems interoperability in NHS England: a qualitative interview study. 158 - Shih-Ming Hsiao, Mei-Chuan Kuo, Pei-Ni Hsiao, Sin-Hua Moi, Yi-Wen Chiu, Shu-Li Wang, Tzu-Hui Chen, Lan-Fang Kung, Shang-Jyh Hwang, Chia-Lun Lee:
Shared decision-making for renal replacement treatment and illness perception in patients with advanced chronic kidney disease. 159 - Keming Lu, Yuanren Tong, Si Yu, Yucong Lin, Yingyun Yang, Hui Xu, Yue Li, Sheng Yu:
Building a trustworthy AI differential diagnosis application for Crohn's disease and intestinal tuberculosis. 160 - Julia Möller, Lena Josfeld, Christian Keinki, Nathalie Zieglowski, Jens Büntzel, Jutta Huebner:
The quality of German - language patient decision aids for oncological patients on the internet. 161 - Hsiao-Hui Chiu, Shih-Lin Chang, Hao-Min Cheng, Tze-Fan Chao, Yenn-Jiang Lin, Li-Wei Lo, Yu-Feng Hu, Fa-Po Chung, Jo-Nan Liao, Ta-Chuan Tuan, Chin-Yu Lin, Ting-Yung Chang, Ling Kuo, Chih-Min Liu, Yung-Nan Tsai, Yu-Ting Huang, Yuh-Lih Chang, Ju-Chieh Wung, Shih-Ann Chen:
Shared decision making for anticoagulation reduces anxiety and improves adherence in patients with atrial fibrillation. 163 - Natalia Oprea, Vittoria Ardito, Oriana Ciani:
Implementing shared decision-making interventions in breast cancer clinical practice: a scoping review. 164 - Xuewen Li, Chengming Shang, Changyan Xu, Yiting Wang, Jiancheng Xu, Qi Zhou:
Development and comparison of machine learning-based models for predicting heart failure after acute myocardial infarction. 165 - Changxi Wang, Qilin Liu, Haopeng Zhou, Tong Wu, Haowen Liu, Jin Huang, Yixuan Zhuo, Zhenlin Li, Kang Li:
Anomaly prediction of CT equipment based on IoMT data. 166 - Elahe Mousavi, Ammar Hasanzadeh Keshteli, Mohammadreza Sehhati, Ahmad Vaez, Peyman Adibi:
Re-investigation of functional gastrointestinal disorders utilizing a machine learning approach. 167 - Emma L. Twait, Constanza L. Andaur Navarro, Vilmundur Gudnason, Yi-Han Hu, Lenore J. Launer, Mirjam I. Geerlings:
Dementia prediction in the general population using clinically accessible variables: a proof-of-concept study using machine learning. The AGES-Reykjavik study. 168 - Fu-qiang Ma, Cong He, Hao-ran Yang, Zuo-wei Hu, He-rong Mao, Cun-yu Fan, Yu Qi, Ji-xian Zhang, Bo Xu:
Interpretable machine-learning model for Predicting the Convalescent COVID-19 patients with pulmonary diffusing capacity impairment. 169 - Bertrand Bouvarel, Fabrice Carrat, Nathanael Lapidus:
Updating mortality risk estimation in intensive care units from high-dimensional electronic health records with incomplete data. 170 - Daonan Chen, Rui Wang, Yihan Jiang, Zijian Xing, Qiuyang Sheng, Xiaoqing Liu, Ruilan Wang, Hui Xie, Lina Zhao:
Application of artificial neural network in daily prediction of bleeding in ICU patients treated with anti-thrombotic therapy. 171 - Habtamu Setegn Ngusie, Mohammadjud Hasen Ahmed, Shegaw Anagaw Mengiste, Mihiretu Kebede, Shuayib Shemsu, Shuma Gosha Kanfie, Sisay Yitayih Kassie, Mulugeta Hayelom Kalayou, Monika Knudsen Gullslett:
The effect of capacity building evidence-based medicine training on its implementation among healthcare professionals in Southwest Ethiopia: a controlled quasi-experimental outcome evaluation. 172 - Yufei Lu, Yichun Ning, Yang Li, Bowen Zhu, Jian Zhang, Yan Yang, Weize Chen, Zhixin Yan, Annan Chen, Bo Shen, Yi Fang, Dong Wang, Nana Song, Xiaoqiang Ding:
Risk factor mining and prediction of urine protein progression in chronic kidney disease: a machine learning- based study. 173 - Guoqiu Li, Hongtian Tian, Huaiyu Wu, Zhibin Huang, Keen Yang, Jian Li, Yuwei Luo, Siyuan Shi, Chen Cui, Jinfeng Xu, Fajin Dong:
Artificial intelligence for non-mass breast lesions detection and classification on ultrasound images: a comparative study. 174 - Hong Yu, Lingcan Tan, Tao Zhu, Xiaoqian Deng:
A WeChat applet-based national remote emergency system for malignant hyperthermia in China: a usability study. 175 - Khadijeh Moulaei, Reza Moulaei, Kambiz Bahaadinbeigy:
Barriers and facilitators of using health information technologies by women: a scoping review. 176 - Noha El Yaman, Jad Zeitoun, Rawan Diab, Mohamad Mdaihly, Razan Diab, Lynn Kobeissi, Salwa Abou Ljoud, Jumana Antoun, Marco Bardus:
Utilization of patient portals: a cross-sectional study investigating associations with mobile app quality. 177 - Anjolaoluwa Ayomide Popoola, Jennifer Koren Frediani, Terryl Johnson Hartman, Kamran Paynabar:
Mitigating underreported error in food frequency questionnaire data using a supervised machine learning method and error adjustment algorithm. 178 - Guang Yang, Shichun He, Deyu Meng, Meiqi Wei, Jianwei Cao, Hongzhi Guo, He Ren, Ziheng Wang:
Body landmarks and genetic algorithm-based approach for non-contact detection of head forward posture among Chinese adolescents: revitalizing machine learning in medicine. 179 - Kohilan Gananandan, V. Thomas, W. L. Woo, R. Boddu, R. Kumar, M. Raja, A. Balaji, K. Kazankov, Rajeshwar P. Mookerjee:
Fat mass: a novel digital biomarker for remote monitoring that may indicate risk for malnutrition and new complications in decompensated cirrhosis. 180 - Urszula Alina Snigurska, Sarah E. Ser, Laurence M. Solberg, Mattia Prosperi, Tanja Magoc, Zhaoyi Chen, Jiang Bian, Ragnhildur I. Bjarnadottir, Robert J. Lucero:
Application of a practice-based approach in variable selection for a prediction model development study of hospital-induced delirium. 181 - Chen-Yu Han, Jian Zhang, Xiao-Mei Ye, Jia-Ping Lu, Hai-Ying Jin, Wei-Wei Xu, Ping Wang, Min Zhang:
Telemedicine-assisted structured self-monitoring of blood glucose in management of T2DM results of a randomized clinical trial. 182 - Margaret Ndisha, Amin S. Hassan, Faith Ngari, Evans Munene, Mary Gikura, Koske Kimutai, Kennedy Muthoka, Lisa Amai Murie, Herman Tolentino, Jacob Odhiambo, Pascal Mwele, Lydia Odero, Kate Mbaire, Gonza Omoro, Davies Kimanga:
Leveraging electronic medical records for HIV testing, care, and treatment programming in Kenya - the national data warehouse project. 183 - Qiong Gu, Shucong Yang, DanTing Fei, Yuting Lu, Huijie Yu:
A nomogram for predicting sepsis-associated delirium: a retrospective study in MIMIC III. 184 - Jinhu Zhuang, Haofan Huang, Song Jiang, Jianwen Liang, Yong Liu, Xiaxia Yu:
A generalizable and interpretable model for mortality risk stratification of sepsis patients in intensive care unit. 185 - Jixiao Wang, Chong Wang:
The coming Omicron waves and factors affecting its spread after China reopening borders. 186 - E. Karajeanes, D. Bila, M. Luis, M. Tovela, C. Anjos, N. Ramanlal, P. Vaz, Luís Velez Lapão:
The Infomóvel - An information system for managing HIV/AIDS patients in rural areas of Mozambique. 187 - Geir Thore Berge, Ole-Christoffer Granmo, Tor Oddbjørn Tveit, Anna Linda Ruthjersen, Jivitesh Sharma:
Combining unsupervised, supervised and rule-based learning: the case of detecting patient allergies in electronic health records. 188 - Alicia Ageno, Neus Català, Marcel Pons:
Acquisition of temporal patterns from electronic health records: an application to multimorbid patients. 189 - Beomjun Bark, Borum Nam, In Young Kim:
SelANet: decision-assisting selective sleep apnea detection based on confidence score. 190 - Chenai Mlandu, Zvifadzo Matsena-Zingoni, Eustasius Musenge:
Predicting the drop out from the maternal, newborn and child healthcare continuum in three East African Community countries: application of machine learning models. 191 - Yousef Gheibi, Kimia Shirini, Seyed Naser Razavi, Mehdi Farhoudi, Taha Samad-Soltani:
CNN-Res: deep learning framework for segmentation of acute ischemic stroke lesions on multimodal MRI images. 192 - P. Spanakis, B. Lorimer, E. Newbronner, R. Wadman, S. Crosland, S. Gilbody, G. Johnston, L. Walker, E. Peckham:
Digital health literacy and digital engagement for people with severe mental ill health across the course of the COVID-19 pandemic in England. 193 - Hani Salim, Ai Theng Cheong, Sazlina Sharif-Ghazali, Ping Yein Lee, Poh Ying Lim, Ee Ming Khoo, Norita Hussein, Noor Harzana Harrun, Bee Kiau Ho, Hilary Pinnock:
A self-management app to improve asthma control in adults with limited health literacy: a mixed-method feasibility study. 194 - José Varela Aldás, Jorge Buele, Doris Pérez, Guillermo Palacios Navarro:
Memory rehabilitation during the COVID-19 pandemic. 195 - Michael Suesserman, Samantha Gorny, Daniel Lasaga, John Helms, Dan Olson, Edward Bowen, Sanmitra Bhattacharya:
Procedure code overutilization detection from healthcare claims using unsupervised deep learning methods. 196 - Yulin Shi, Hao Wang, Xinghua Yao, Jun Li, Jiayi Liu, Yuan Chen, Lingshuang Liu, Jiatuo Xu:
Machine learning prediction models for different stages of non-small cell lung cancer based on tongue and tumor marker: a pilot study. 197 - Jonathan Wermelinger, Qendresa Parduzi, Murat Sariyar, Andreas Raabe, Ulf C. Schneider, Kathleen Seidel:
Opportunities and challenges of supervised machine learning for the classification of motor evoked potentials according to muscles. 198 - Khadijeh Moulaei, Kambiz Bahaadinbeigy, Esmat Mashoof, Fatemeh Dinari:
Design and development of a mobile-based self-care application for patients with depression and anxiety disorders. 199 - Justin N. Hall, Ron Galaev, Marina Gavrilov, Shawn Mondoux:
Development of a machine learning-based acuity score prediction model for virtual care settings. 200 - Zahra Zare, Elmira Hajizadeh, Maryam Mahmoodi, Reza Nazari, Leila Shahmoradi, Sorayya Rezayi:
Smartphone-based application to control and prevent overweight and obesity in children: design and evaluation. 201 - Anh N. Q. Pham, Michael Cummings, Nese Yuksel, Beate Sydora, Tyler S. Williamson, Stephanie Garies, Russell Pilling, Cliff Lindeman, Sue Ross:
Development and validation of a case definition for problematic menopause in primary care electronic medical records. 202 - Nanae Tanemura, Tsuyoshi Sasaki, Ryotaro Miyamoto, Jin Watanabe, Michihiro Araki, Junko Sato, Tsuyoshi Chiba:
Extracting the latent needs of dementia patients and caregivers from transcribed interviews in japanese: an initial assessment of the availability of morpheme selection as input data with Z-scores in machine learning. 203 - Xiuxiu Zhou, Shanshan Guo, Hong Wu:
Research on the doctors' win in crowdsourcing competitions: perspectives on service content and competitive environment. 204 - Juan B. Talens, José Pelegrí-Sebastiá, Tomas Sogorb, J. L. Ruiz:
Prostate cancer detection using e-nose and AI for high probability assessment. 205 - Anna Bakidou, Eva-Corina Caragounis, Magnus Andersson Hagiwara, Anders Jonsson, Bengt Arne Sjöqvist, Stefan Candefjord:
On Scene Injury Severity Prediction (OSISP) model for trauma developed using the Swedish Trauma Registry. 206 - Amir Kamel Rahimi, Moji Ghadimi, Anton H. van der Vegt, Oliver J. Canfell, Jason D. Pole, Clair Sullivan, Sally Shrapnel:
Machine learning clinical prediction models for acute kidney injury: the impact of baseline creatinine on prediction efficacy. 207 - April R. Williams, Maria D. Thomson, Erin L. Britton:
Associations between blood pressure control and clinical events suggestive of nutrition care documented in electronic health records of patients with hypertension. 208 - Yu Cao, Yaojun Niu, Xuetao Tian, Dezhong Peng, Li Lu, Haojun Zhang:
Development of a knowledge-based healthcare-associated infections surveillance system in China. 209 - Xiaolong Li, Shuifa Sun, Tinglong Tang, Ji Lu, Lijuan Zhang, Jie Yin, Qian Geng, Yirong Wu:
Construction of a knowledge graph for breast cancer diagnosis based on Chinese electronic medical records: development and usability study. 210 - Catherine Heeney, Matt-Mouley Bouamrane, Stephen Malden, Kathrin M. Cresswell, Robin Williams, Aziz Sheikh:
Optimising ePrescribing in hospitals through the interoperability of systems and processes: a qualitative study in the UK, US, Norway and the Netherlands. 211 - Kuang-Ming Kuo:
Antecedents predicting digital contact tracing acceptance: a systematic review and meta-analysis. 212 - Hang Chen, Bowei Cao, Jiangcun Yang, He Ren, Xingqiu Xia, Xiaowen Zhang, Wei Yan, Xiaodan Liang, Chen Li:
Construction and effect evaluation of prediction model for red blood cell transfusion requirement in cesarean section based on artificial intelligence. 213 - Shangjun Han, Meijuan Song, Jiarui Wang, Yalong Huang, Zuxi Li, Aijia Yang, Changsheng Sui, Zeping Zhang, Jiling Qiao, Jing Yang:
Intelligent identification system of gastric stromal tumors based on blood biopsy indicators. 214 - Yuxin Wang, Yuhan Deng, Yinliang Tan, Meihong Zhou, Yong Jiang, Baohua Liu:
A comparison of random survival forest and Cox regression for prediction of mortality in patients with hemorrhagic stroke. 215 - Guillermo Argüello-González, José Aquino-Esperanza, Daniel Salvador, Rosa Bretón-Romero, Carlos Del Río-Bermudez, Jorge Tello, Sebastian Menke:
Negation recognition in clinical natural language processing using a combination of the NegEx algorithm and a convolutional neural network. 216 - Srikanth Boligarla, Elda Kokoè Elolo Laison, Jiaxin Li, Raja Mahadevan, Austen Ng, Yangming Lin, Mamadou Yamar Thioub, Bruce Huang, Mohamed Hamza Ibrahim, Bouchra Nasri:
Leveraging machine learning approaches for predicting potential Lyme disease cases and incidence rates in the United States using Twitter. 217 - Ying Wang, Liyan Lu, Rui Zhang, Yiming Ma, Shuping Zhao, Changyong Liang:
The willingness to continue using wearable devices among the elderly: SEM and FsQCA analysis. 218 - Nuriye Sancar, Sahar S. Tabrizi:
Machine learning approach for the detection of vitamin D level: a comparative study. 219 - Jennifer Cooper, Krishnarajah Nirantharakumar, Francesca Crowe, Amaya Azcoaga-Lorenzo, Colin McCowan, Thomas Jackson, Aditya Acharya, Krishna Gokhale, Niluka Gunathilaka, Tom Marshall, Shamil Haroon:
Prevalence and demographic variation of cardiovascular, renal, metabolic, and mental health conditions in 12 million english primary care records. 220 - Martin Kotyrba, Hashim Habiballa, Eva Volná, Robert Jarusek, Pavel Smolka, Martin Prasek, Marek Malina, Vladena Jaremova:
Proposal of neural network model for neurocognitive rehabilitation and its comparison with fuzzy expert system model. 221 - Lianshuai Zheng, Leilei Wang:
Comprehensive information management system for a medical research cohort biobank based on quality by design. 222 - Sibylle Kautz-Freimuth, Marcus Redaèlli, Arim Shukri, Hannah Kentenich, Dusan Simic, Vanessa Mildenberger, Rita Schmutzler, Kerstin Rhiem, Stephanie Stock:
Effectiveness of evidence-based decision aids for women with pathogenic BRCA1 or BRCA2 variants in the german health care context: results from a randomized controlled trial. 223 - Jeffrey A. Kline, Brian Reed, Alex Frost, Naomi Alanis, Meylakh Barshay, Andrew Melzer, James Galbraith, Alicia Budd, Amber Winn, Eugene Pun, Carlos A. Camargo:
Database derived from an electronic medical record-based surveillance network of US emergency department patients with acute respiratory illness. 224 - Michael Osadebey, Qinghui Liu, Elies Fuster-García, Kyrre Eeg Emblem:
Interpreting deep learning models for glioma survival classification using visualization and textual explanations. 225 - Janet Yamada, Andrew Kouri, Sarah Nicole Simard, Jeffrey Lam Shin Cheung, Stephanie Segovia, Samir Gupta:
Improving computerized decision support system interventions: a qualitative study combining the theoretical domains framework with the GUIDES Checklist. 226 - Raziyeh Beykmirza, Elahe Rastkar Mehrabani, Maryam Hashemi, Maryam Mahdizade Shahri, Reza Negarandeh, Maryam Varzeshnejad:
Development, implementation, and evaluation of neonatal thermoregulation decision support web application. 227 - Brittany Humphries, Jafna L. Cox, Ratika Parkash, Lehana Thabane, Gary Foster, James MacKillop, Joanna Nemis-White, Laura Hamilton, Antonio Ciaccia, Shurjeel H. Choudhri, Bruno Kovic, Feng Xie:
Resource use and cost associated with computerized decision support system and usual care in managing patients with atrial fibrillation: analysis of IMPACT-AF randomized trial data. 228 - Azita Yazdani, Mostafa Shanbehzadeh, Hadi Kazemi-Arpanahi:
Using an adaptive network-based fuzzy inference system for prediction of successful aging: a comparison with common machine learning algorithms. 229 - Yewen Shi, Yitong Zhang, Zine Cao, Lina Ma, Yuqi Yuan, Xiaoxin Niu, Yonglong Su, Yushan Xie, Xi Chen, Liang Xing, Xinhong Hei, Haiqin Liu, Shinan Wu, Wenle Li, Xiaoyong Ren:
Application and interpretation of machine learning models in predicting the risk of severe obstructive sleep apnea in adults. 230 - Maria Hägglund, Anna Kristensson Ekwall, Nadia Davoody, Nasim Farrokhnia:
Escape to the future - a qualitative study of physicians' views on the work environment, education, and support in a digital context. 231 - Yared Daniel Daydulo, Bheema Lingaiah Thamineni, Ahmed Ali Dawud:
Cardiac arrhythmia detection using deep learning approach and time frequency representation of ECG signals. 232 - Anh N. Q. Pham, Michael Cummings, Nese Yuksel, Beate Sydora, Tyler S. Williamson, Stephanie Garies, Russell Pilling, Cliff Lindeman, Sue Ross:
Correction: Development and validation of a case definition for problematic menopause in primary care electronic medical records. 233 - Rachel B. Seymour, Meghan K. Wally, Joseph R. Hsu, Michael Beuhler, Michael J. Bosse, Michael Gibbs, Christopher Griggs, Steven Jarrett, Daniel Leas, Susan Odum, Tamar Roomian, Michael S. Runyon, Animita Saha, Sharon Schiro, D. Matthew Sullivan, Brad Watling, Stephen Wyatt, Ziqing Yu:
Impact of clinical decision support on controlled substance prescribing. 234 - Aysan Faezi, Hadi Lotfnezhad Afshar, Bahlol Rahimi:
Identifying factors that affect the use of health information technology in the treatment and management of hypertension. 235 - Fatemeh Rangraz Jeddi, Ehsan Nabovati, Mohammadreza Mobayen, Hossein Akbari, Alireza Feizkhah, Joseph Osuji, Parissa Bagheri Toolaroud:
Health care needs, eHealth literacy, use of mobile phone functionalities, and intention to use it for self-management purposes by informal caregivers of children with burns: a survey study. 236 - Yong Huang, Xiaoyu Huang, Anling Wang, Qiwei Chen, Gong Chen, Jingya Ye, Yaru Wang, Zhihui Qin, Kai Xu:
Individualized treatment decision model for inoperable elderly esophageal squamous cell carcinoma based on multi-modal data fusion. 237 - Daniel E. Russ, Nicole M. Gerlanc, Brian Shen, Bhaumik Patel, Amy Berrington de González, Neal D. Freedman, Julie M. Cusack, Mia M. Gaudet, Montserrat Garcia-Closas, Jonas S. Almeida:
Quest markup for developing FAIR questionnaire modules for epidemiologic studies. 238 - Fruzsina Kotsis, Helena Bächle, Michael Altenbuchinger, Jürgen Dönitz, Yacoub Abelard Njipouombe Nsangou, Heike Meiselbach, Robin Kosch, Sabine Salloch, Tanja Bratan, Helena U. Zacharias, Ulla T. Schultheiss:
Expectation of clinical decision support systems: a survey study among nephrologist end-users. 239 - Malin Berglund, Sara Olaison, Eva Westman, P. O. Eriksson, Lena Steger, Åsa Bonnard:
Validation of the Swedish Quality Register for Ear Surgery - SwedEar. 240 - Shaomin Shi, Ling Gao, Juan Zhang, Baifang Zhang, Jing Xiao, Wan Xu, Yuan Tian, Lihua Ni, Xiaoyan Wu:
The automatic detection of diabetic kidney disease from retinal vascular parameters combined with clinical variables using artificial intelligence in type-2 diabetes patients. 241 - Maki Komamine, Yoshiaki Fujimura, Masatomo Omiya, Tosiya Sato:
Dealing with missing data in laboratory test results used as a baseline covariate: results of multi-hospital cohort studies utilizing a database system contributing to MID-NET® in Japan. 242 - Yang An, Haocheng Tang, Bo Jin, Yi Xu, Xiaopeng Wei:
KAMPNet: multi-source medical knowledge augmented medication prediction network with multi-level graph contrastive learning. 243 - Minxian Wang, Mengting Sun, Yao Yu, Xinsheng Li, Yongkui Ren, Da Yin:
Predictive value of machine learning algorithm of coronary artery calcium score and clinical factors for obstructive coronary artery disease in hypertensive patients. 244 - August Kuwawenaruwa, Henry Mollel, John Matiko Machonchoryo, Federica Margini, Jennie Jaribu, Peter Binyaruka:
A political economy analysis of strengthening health information system in Tanzania. 245 - Jun Hwa Choi, Eun Suk Choi, Dougho Park:
In-hospital fall prediction using machine learning algorithms and the Morse fall scale in patients with acute stroke: a nested case-control study. 246 - Yucong Lin, Jia Li, Huan Xiao, Lujie Zheng, Ying Xiao, Hong Song, Jingfan Fan, Deqiang Xiao, Danni Ai, Tianyu Fu, Feifei Wang, Han Lv, Jian Yang:
Automatic literature screening using the PAJO deep-learning model for clinical practice guidelines. 247 - Mohsen Masoumian Hosseini, Seyedeh Toktam Masoumian Hosseini, Karim Qayumi, Shahriar Hosseinzadeh, Seyedeh Saba Sajadi Tabar:
Smartwatches in healthcare medicine: assistance and monitoring; a scoping review. 248 - Pengling Ren, Yi He, Ning Guo, Nan Luo, Fang Li, Zhenchang Wang, Zhenghan Yang:
A deep learning-based automated algorithm for labeling coronary arteries in computed tomography angiography images. 249 - Montserrat León-García, Brittany Humphries, Pablo Roca Morales, Derek Gravholt, Mark H. Eckman, Shannon M. Bates, Nataly R. Espinoza Suarez, Feng Xie, Lilisbeth Perestelo-Pérez, Pablo Alonso-Coello:
Assessment of a venous thromboembolism prophylaxis shared decision-making intervention (DASH-TOP) using the decisional conflict scale: a mixed-method study. 250 - Ming-Wei Ma, Xian-Shu Gao, Zeyu Zhang, Shi-Yu Shang, Ling Jin, Pei-Lin Liu, Feng Lv, Wei Ni, Yu-Chen Han, Hui Zong:
Extracting laboratory test information from paper-based reports. 251 - Lotta Virtanen, Anu-Marja Kaihlanen, Petra Saukkonen, Jarmo Reponen, Tinja Lääveri, Tuulikki Vehko, Peppiina Saastamoinen, Johanna Viitanen, Tarja Heponiemi:
Associations of perceived changes in work due to digitalization and the amount of digital work with job strain among physicians: a national representative sample. 252 - Isotta Trescato, Chiara Roversi, Martina Vettoretti, Barbara Di Camillo, Andrea Facchinetti:
A model to forecast the two-year variation of subjective wellbeing in the elderly population. 253 - Charlèss Dupont, Tinne Smets, Fanny Monnet, Lara Pivodic, Aline De Vleminck, Chantal Van Audenhove, Lieve Van den Block:
Defining the content of a website on advance care planning in dementia: a focus group study with family and health professionals. 254 - Mireia Costa, Alberto García S., Oscar Pastor:
The consequences of data dispersion in genomics: a comparative analysis of data sources for precision medicine. 256 - Rong Li, Lan Shen, Wenyan Ma, Linfeng Li, Bo Yan, Yuna Wei, Yao Wang, Changqing Pan, Junyi Yuan:
Machine learning-based risk models for procedural complications of radiofrequency ablation for atrial fibrillation. 257 - Azadeh Nadjarzadeh, Alireza Fallahzadeh, Arezoo Abasi, Mohammad Mehdi Poornematy, Hamid Reza Farahzadi, Seyed Ali Fatemi Aghda:
Determining the content and needs assessment a mobile-based self-care program in infertile men. 258 - Daniel Stoessel, Rui Fa, Svetlana Artemova, Ursula von Schenck, Hadiseh Nowparast Rostami, Pierre-Ephrem Madiot, Caroline Landelle, Frédéric Olive, Alison Foote, Alexandre Moreau-Gaudry, Jean-Luc Bosson:
Early prediction of in-hospital mortality utilizing multivariate predictive modelling of electronic medical records and socio-determinants of health of the first day of hospitalization. 259 - Elizabeth R. Stevens, Ruth Agbakoba, Devin M. Mann, Rachel Hess, Safiya Richardson, Thomas G. McGinn, Paul D. Smith, Wendy Halm, Marlon P. Mundt, Katherine L. Dauber-Decker, Simon Jones, Dawn M. Feldthouse, Eun Ji Kim, David A. Feldstein:
Reducing prescribing of antibiotics for acute respiratory infections using a frontline nurse-led EHR-Integrated clinical decision support tool: protocol for a stepped wedge randomized control trial. 260 - Khadijeh Moulaei, Abbas Sheikhtaheri, Farhad Fatehi, Mostafa Shanbehzadeh, Kambiz Bahaadinbeigy:
Patients' perspectives and preferences toward telemedicine versus in-person visits: a mixed-methods study on 1226 patients. 261 - Jeffrey Wang, Joao Souza de Vale, Saransh Gupta, Pulakesh Upadhyaya, Felipe A. Lisboa, Seth A. Schobel, Eric A. Elster, Christopher J. Dente, Timothy G. Buchman, Rishikesan Kamaleswaran:
ClotCatcher: a novel natural language model to accurately adjudicate venous thromboembolism from radiology reports. 262 - Somaye Norouzi, Zahra Galavi, Leila Ahmadian:
Identifying the data elements and functionalities of clinical decision support systems to administer medication for neonates and pediatrics: a systematic literature review. 263 - Shanshan Wang, Yajing Yan, Rong Yan, Ting Li, Kaijie Ma, Yani Yan:
A Chinese telemedicine-dialogue dataset annotated for named entities. 264 - Sara Saberi Tehrani Moghadam, Maral Zarvani, Paria Amiri, Zahra Ghods, Masoomeh Raoufi, Seyed Amir Ahmad Safavi-Naini, Amirali Soheili, Mohammad Gharib, Hamid Abbasi:
Visual transformer and deep CNN prediction of high-risk COVID-19 infected patients using fusion of CT images and clinical data. 265 - Rochelle F. Hanson, Vivienne J. Zhu, Funlola Are, Hannah Espeleta, Elizabeth Wallis, Paul Heider, Marin Kautz, Leslie Lenert:
Initial development of tools to identify child abuse and neglect in pediatric primary care. 266 - Chenggong Xu, Hongxia Li, Jianping Yang, Yunzhu Peng, Hongyan Cai, Jing Zhou, Wenyi Gu, Lixing Chen:
Interpretable prediction of 3-year all-cause mortality in patients with chronic heart failure based on machine learning. 267 - Jing Chen, Fan He, Qian Wu, Li Wang, Xiaoxia Zhu, Yan Qi, JiaLing Wu, Yan Shi:
Identifying self-reported health-related problems in home-based rehabilitation of older patients after hip replacement in China: a machine learning study based on Omaha system theory. 268 - Jinming Shi, Ming Ye, Haotian Chen, Yaoen Lu, Zhongke Tan, Zhaohan Fan, Jie Zhao:
Enhancing efficiency and capacity of telehealth services with intelligent triage: a bidirectional LSTM neural network model employing character embedding. 269 - Tianchen Jia, Kai Xu, Yun Bai, Mengwei Lv, Lingtong Shan, Wei Li, Xiaobin Zhang, Zhi Li, Zhenhua Wang, Xin Zhao, Mingliang Li, Yangyang Zhang:
Machine-learning predictions for acute kidney injuries after coronary artery bypass grafting: a real-life muticenter retrospective cohort study. 270 - David Nickson, Caroline Meyer, Lukasz Walasek, Carla T. Toro:
Prediction and diagnosis of depression using machine learning with electronic health records data: a systematic review. 271 - Abir Boujelben, Ikram Amous:
Strategy maintenance in smart healthcare systems. 272 - Junyuan Feng, Jincheng Liang, Zihan Qiang, Yuexing Hao, Xia Li, Li Li, Qinqun Chen, Guiqing Liu, Hang Wei:
A hybrid stacked ensemble and Kernel SHAP-based model for intelligent cardiotocography classification and interpretability. 273 - Damjan Vukovic, Andrew Wang, Maria Antico, Marian Steffens, Igor Ruvinov, Ruud J. G. van Sloun, David Canty, Alistair Royse, Colin Royse, Kavi Haji, Jason Dowling, Girija Chetty, Davide Fontanarosa:
Automatic deep learning-based pleural effusion segmentation in lung ultrasound images. 274 - Azita Yazdani, Mohammad Shamloo, Mina Khaki, Azin Nahvijou:
Use of sentiment analysis for capturing hospitalized cancer patients' experience from free-text comments in the Persian language. 275 - Duo Zuo, Lexin Yang, Yu Jin, Huan Qi, Yahui Liu, Li Ren:
Machine learning-based models for the prediction of breast cancer recurrence risk. 276 - Behnam Farzaneh, Reza Khajouei, Amir Hossein Nabizadeh, Saeed Saedi, Mohammad Mahdi Ghaemi:
Usability evaluation of emergency information systems in educational hospitals in Kerman, Iran. 277 - Ayan Chatterjee, Nibedita Pahari, Andreas Prinz, Michael Riegler:
AI and semantic ontology for personalized activity eCoaching in healthy lifestyle recommendations: a meta-heuristic approach. 278 - Mark van Velzen, Helen I. de Graaf-Waar, Tanja Ubert, Robert Frans van der Willigen, Lotte Muilwijk, Maarten A. Schmitt, Mark C. Scheper, Nico L. U. van Meeteren:
21st century (clinical) decision support in nursing and allied healthcare. Developing a learning health system: a reasoned design of a theoretical framework. 279 - Mohammad Heydari, Esmaeil Mehraeen, Elham Javaherikiyan, Nahid Mehrabi, Mostafa Langarizadeh, Vahideh Aghamohammadi, Hamed Rezakhani Moghaddam, Khadijeh Nasiri:
Design, development and evaluation of a mobile-based self-care application for patients with COVID-19 not requiring hospitalization; a study of Northwest of Iran. 280 - Wanrong Yang, Jiajie Xu, Junhong Xiang, Zhonghong Yan, Hengyu Zhou, Binbin Wen, Hai Kong, Rui Zhu, Wang Li:
Correction: Diagnosis of cardiac abnormalities based on phonocardiogram using a novel fuzzy matching feature extraction method. 281 - Danilo Ferreira de Carvalho, Uzay Kaymak, Pieter Van Gorp, Natal A. W. van Riel:
Data-driven meal events detection using blood glucose response patterns. 282 - Yan Zhang, Weiwei Xu, Ping Yang, An Zhang:
Machine learning for the prediction of sepsis-related death: a systematic review and meta-analysis. 283 - Jacob A. Andrews, Michael P. Craven, Alexandra Rosewall Lang, B. Guo, Richard Morriss, Chris Hollis:
Correction: The impact of data from remote measurement technology on the clinical practice of healthcare professionals in depression, epilepsy and multiple sclerosis: survey. 284 - Felipe O. Franco, Jessica S. Oliveira, Joana Portolese, Fernando M. Sumiya, Andréia F. Silva, Ariane Machado-Lima, Fátima L. S. Nunes, Helena Paula Brentani:
Computer-aided autism diagnosis using visual attention models and eye-tracking: replication and improvement proposal. 285 - Åsa Grauman, M. Ancillotti, Jorien Veldwijk, D. Mascalzoni:
Precision cancer medicine and the doctor-patient relationship: a systematic review and narrative synthesis. 286 - Lei Pang, Zijun Ding, Hongqiang Chai, Weibing Shuang:
Construction and evaluation of a column chart model and a random forest model for predicting the prognosis of hydrodistention surgery in BPS/IC patients based on preoperative CD117, P2X3R, NGF, and TrkA levels. 287 - Walid Al-Qerem, Judith Eberhardt, Anan Jarab, Abdel Qader Al Bawab, Alaa Hammad, Fawaz Alasmari, Badi'ah Alazab, Daoud Abu Husein, Jumana Alazab, Saed Al-Beool:
Exploring knowledge, attitudes, and practices towards artificial intelligence among health professions' students in Jordan. 288 - Maryam Karami, Hossein Ashtarian, Mojgan Rajati, Behrooz Hamzeh, Fatemeh Rajati:
The effect of health literacy intervention on adherence to medication of uncontrolled hypertensive patients using the M-health. 289 - Tariku Nigatu Bogale, Herman Jozef Willems, Loko Abraham Bongassie, Yemariam Eyob, Chaluma Kumela Mengesha, Bantalem Yeshanew Yihun, Mesud Mohammed, Naod Wendrad, Gemechis Melkamu, Dawit Wolde Daka, Selamawit Meressa, Tadesse Alemu Bekele:
Acceptability and use of the electronic community health information system and its determinants among health extension workers in Ethiopia: a retrospective cross-sectional observational study. 290 - Guanghui Li, Feifan Zeng, Jiawei Luo, Cheng Liang, Qiu Xiao:
MNCLCDA: predicting circRNA-drug sensitivity associations by using mixed neighbourhood information and contrastive learning. 291 - Liang Zhang, Zhen Hua Liu, Yin Jiang Lv, Shui Fu, Zhang Mei Luo, Mei Li Guo:
Comprehensive improvements in the emergency laboratory test process based on information technology. 292 - Fredrik Granviken, Ingebrigt Meisingset, Ottar Vasseljen, Kerstin Bach, Anita Formo Bones, Nina Elisabeth Klevanger:
Acceptance and use of a clinical decision support system in musculoskeletal pain disorders - the SupportPrim project. 293 - Xiaopei Liu, Dan Liu, Cong'e Tan, Wenzhe Feng:
Gut microbiome-based machine learning for diagnostic prediction of liver fibrosis and cirrhosis: a systematic review and meta-analysis. 294 - Zhonglin Qu, Quang Vinh Nguyen, Chng Wei Lau, Andrew Johnston, Paul J. Kennedy, Simeon Simoff, Daniel R. Catchpoole:
Understanding cancer patient cohorts in virtual reality environment for better clinical decisions: a usability study. 295 - Shi Shang, Junyi Yuan, Changqing Pan, Sufen Wang, Xuemin Tu, Xingxing Cen, Linhui Mi, Xumin Hou:
Particle filter-based parameter estimation algorithm for prognostic risk assessment of progression in non-small cell lung cancer. 296 - Jiayu Wang, Yikang Xu, Lei Liu, Wei Wu, Chunjian Shen, Henan Huang, Ziyi Zhen, Jixian Meng, Chunjing Li, Zhixin Qu, Qinglei He, Yu Tian:
Comparison of LASSO and random forest models for predicting the risk of premature coronary artery disease. 297
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