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ORCIDBMC Medical Informatics & Decision Making, Volume 25
Volume 25, Number 1, December 2025
- Tesfahun Hailemariam
, Asmamaw Atnafu, Lemma Derseh Gezie, Binyam Tilahun:
Effect of short message service reminders in improving optimal antenatal care, skilled birth attendance and postnatal care in low-and middle-income countries: a systematic review and meta-analysis. 1 - Linghong Wu, Xiaozhong Peng, Yao Lu, Cuiping Fu, Liujun She, Guangwei Zhu, Xianglong Zhuo, Wei Hu, Xiangtao Xie:
Correction: Development and validation of a nomogram model for prolonged length of stay in spinal fusion patients: a retrospective analysis. 2 - Somayeh Kianian Bigdeli, Marjan Ghazisaeedi, Seyed Mohammad Ayyoubzadeh, Sedigheh Hantoushzadeh, Marjan Ahmadi:
Predicting Gestational Diabetes Mellitus in the first trimester using machine learning algorithms: a cross-sectional study at a hospital fertility health center in Iran. 3 - Andrew Hao Sen Fang, Wan Tin Lim, Tharmmambal Balakrishnan:
Correction: Early warning score validation methodologies and performance metrics: a systematic review. 4 - Patrick Rockenschaub, Ela Marie Akay, Benjamin Gregory Carlisle, Adam Hilbert, Joshua Wendland, Falk Meyer-Eschenbach, Anatol-Fiete Näher, Dietmar Frey, Vince Istvan Madai:
External validation of AI-based scoring systems in the ICU: a systematic review and meta-analysis. 5 - Xiaoshuai Cao, Shaojie Zheng, Jincan Zhang, Wenna Chen, Ganqin Du:
A hybrid CNN-Bi-LSTM model with feature fusion for accurate epilepsy seizure detection. 6 - Mi Yang, Xiaojun Zhu, Fei Yan, Xincheng Huang, Zhixue Wu, Xin Jiang, Yan Huang, Zezhi Li:
Digital-based emergency prevention and control system: enhancing infection control in psychiatric hospitals. 7 - Wei Cheng, Ke-Ying Wang, Wen-Qiang Li, Yao Li, Xiao-Yan Li, Shuai Ju:
CT-based nomogram predicts esophageal gastric variceal bleeding in noncirrhotic portal hypertension caused by hepatic schistosomiasis. 8 - Siyu Yan, Danqi Wang, Qiao Huang, Yongbo Wang, Manru Fan, Hongyang Xue, Linxin Yu, Yinghui Jin:
Examining cancer patient preferences during three stages of decision making and family involvement: a multicenter survey study in China. 9 - Athanasios Kallipolitis, Konstantinos Moutselos, Argyrios Zafeiriou, Stelios Andreadis, Anastasia Matonaki, Thanos G. Stavropoulos, Ilias Maglogiannis:
Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review. 10 - Narges Norouzkhani, Somaye Norouzi, Mahbobeh Faramarzi, Ali Bahari, Javad Shokri Shirvani, Saeid Eslami, Hamed Tabesh:
Developing and evaluating a gamified self-management application for inflammatory bowel disease using the ADDIE model and Sukr framework. 11 - Jaeyoung Park, Shilin Guo, Muxuan Liang, Xiang Zhong:
Investigation of the causal relationship between patient portal utilization and patient's self-care self-efficacy and satisfaction in care among patients with cancer. 12 - Sajjad Farashi, Hossein Emad Momtaz:
Prediction of urinary tract infection using machine learning methods: a study for finding the most-informative variables. 13 - Hannes De Meulemeester, Frank De Smet, Johan van Dorst, Elise Derroitte, Bart De Moor:
Explainable unsupervised anomaly detection for healthcare insurance data. 14 - Muhammad Shariq Shaikh, Sibtain Ahmed, Saba Farrukh, Shahnawaz Bayunus:
Indirect determination of hemoglobin A2 reference intervals in Pakistani infants using data mining. 15 - Maria Aguiar, Ander Cejudo, Gorka Epelde, Deisy Chaves, María Trujillo, Garazi Artola, Unai Ayala, Roberto Bilbao, Itziar Tueros:
An approach to boost adherence to self-data reporting in mHealth applications for users without specific health conditions. 16 - Akanksha Singh, Benjamin L. Schooley, John Mobley, Patrick Mobley, Sydney Lindros, John Brooks, Sarah B. Floyd:
Human-centered design of a health recommender system for orthopaedic shoulder treatment. 17 - Meng Zhao, Zhixin Yao, Yan Zhang, Lidan Ma, Wenquan Pang, Shuyin Ma, Yijun Xu, Lili Wei:
Predictive value of machine learning for the progression of gestational diabetes mellitus to type 2 diabetes: a systematic review and meta-analysis. 18 - Georges Nguefack-Tsague, Fabrice Zobel Lekeumo Cheuyem, Boris Edmond Noah, Valérie Ndobo-Koe, Adidja Amani, Léa Melataguia Mekontchou, Marie Ntep Gweth, Annick Collins Mfoulou Minso Assala, Marie Nicole Ngoufack, Pierre René Binyom:
Mortality and morbidity patterns in Yaoundé, Cameroon: an ICD-11 classification-based analysis. 19 - L. Alexander Vance, Leslie Way, Deepali Kulkarni, Emily O. C. Palmer, Abhijit Ghosh, Melissa Unruh, Kelly M. Y. Chan, Amey Girdhari, Joydeep Sarkar:
Natural language processing to identify suicidal ideation and anhedonia in major depressive disorder. 20 - Jacques Muthusi, Peter W. Young, Frankline O. Mboya, Samuel M. Mwalili:
%diag_test: a generic SAS macro for evaluating diagnostic accuracy measures for multiple diagnostic tests. 21 - Zahra Galavi, Mahdieh Montazeri, Reza Khajouei:
Correction: Which criteria are important in usability evaluation of mHealth applications: an umbrella review. 22 - Qingde Zhou, Lan Lan, Wei Wang, Xinchang Xu:
Identifying effective immune biomarkers in alopecia areata diagnosis based on machine learning methods. 23 - Karamarie Fecho, Juan Jimenez Garcia, Hong Yi, Griffin Roupe, Ashok K. Krishnamurthy:
FHIR PIT: a geospatial and spatiotemporal data integration pipeline to support subject-level clinical research. 24 - Nicola McCleary, Justin Presseau, Isabelle Perkins, Brittany Mutsaers, Claire E. Kendall, Janet Yamada, Katharine Gillis, Douglas Green:
Combining theory and usability testing to inform optimization and implementation of an online primary care depression management tool. 25 - Fan Liu, De-bao Zhang, Shi-huan Cheng, Gui-shan Gu:
A radiomics and deep learning nomogram developed and validated for predicting no-collapse survival in patients with osteonecrosis after multiple drilling. 26 - Meghamala Sinha, Perry Haaland, Ashok K. Krishnamurthy, Bo Lan, Stephen A. Ramsey, Patrick L. Schmitt, Priya Sharma, Hao Xu, Karamarie Fecho:
Causal analysis for multivariate integrated clinical and environmental exposures data. 27 - Billy Ogwel, Vincent H. Mzazi, Alex O. Awuor, Caleb Okonji, Raphael O. Anyango, Caren Oreso, John B. Ochieng, Stephen Munga, Dilruba Nasrin, Kirkby D. Tickell, Patricia B. Pavlinac, Karen L. Kotloff, Richard Omore:
Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms. 28 - Cosima Strantz, Dominik Böhm, Thomas Ganslandt, Melanie Börries, Patrick Metzger, Thomas Pauli, Andreas Blaumeiser, Alexander Scheiter, Ian-Christopher Jung, Jan Christoph, Iryna Manuilova, Konstantin Strauch, Arsenij Ustjanzew, Niklas Reimer, Hauke Busch, Philipp Unberath:
Empowering personalized oncology: evolution of digital support and visualization tools for molecular tumor boards. 29 - Tianshu Gu, Wensen Pan, Jing Yu, Guang Ji, Xia Meng, Yongjun Wang, Minghui Li:
Mitigating bias in AI mortality predictions for minority populations: a transfer learning approach. 30 - Enze Bai, Zhan Zhang, Yincao Xu, Xiao Luo, Kathleen Adelgais:
Enhancing prehospital decision-making: exploring user needs and design considerations for clinical decision support systems. 31 - Tessa Oakley, Juliao Vaz, Fausto da Silva, Raikos Allan, Deonisia Almeida, Karen Champlin, Endang Soares da Silva, Ari Jayanti Tilman, Ian P. Marr, Heidi Smith-Vaughan, Jennifer Yan, Joshua R. Francis:
Implementation of a Laboratory Information Management System (LIMS) for microbiology in Timor-Leste: challenges, mitigation strategies, and end-user experiences. 32 - Francesco Prendin, Olivia Streicher, Giacomo Cappon, Eva Rolfes, David Herzig, Lia Bally, Andrea Facchinetti:
Towards a decision support system for post bariatric hypoglycaemia: development of forecasting algorithms in unrestricted daily-life conditions. 33 - Masoumeh Vali, Hossein Motahari-Nezhad, Levente Kovács, Amir H. Gandomi:
Machine learning algorithms for predicting PTSD: a systematic review and meta-analysis. 34 - Yidan Chen, Xuhui Liu, Mingmin Yan, Yue Wan:
Death risk prediction model for patients with non-traumatic intracerebral hemorrhage. 35 - Xiongwen Yang, Yi Xiao, Di Liu, Yun Zhang, Huiyin Deng, Jian Huang, Huiyou Shi, Dan Liu, Maoli Liang, Xing Jin, Yongpan Sun, Jing Yao, XiaoJiang Zhou, Wankai Guo, Yang He, WeiJuan Tang, Chuan Xu:
Enhancing doctor-patient communication using large language models for pathology report interpretation. 36 - Mohammad Mahdi Askarizadeh, Leila Gholamhosseini, Reza Khajouei, Saeedeh Homayee, Fatemeh Askarizadeh, Leila Ahmadian:
Determining the impact of mobile-based self-care applications on reducing anxiety in healthcare providers: a systematic review. 37 - Khadijeh Moulaei, Fatemeh Dinari, Abbas Sheikhtaheri, Kambiz Bahaadinbeigy, Sadrieh Hajesmaeel Gohari:
The persian version of mhealth app usability questionnaire (MAUQ) for patients: a psychometric assessment study. 38 - Yih-Lon Lin, Yu-Min Chiang, Tsuen-Chiuan Tsai, Sheng-Gui Su:
Knowledge-point classification using simple LSTM-based and siamese-based networks for virtual patient simulation. 39 - Tao Yang, Jie Zhao, Ben Wang, Li Wang, Hengzhe Bao, Bing Li, Wen Luo, Huiwen Zhao, Jun Liu:
Feasibility of YOLOX computer model-based assessment of knee function compared with manual assessment for people with severe knee osteoarthritis. 40 - Jiawen Wang, Chunyan Min, Feng Yu, Kai Chen, Ling Mao:
Cough recognition in pneumoconiosis patients based on a flexible patch with an embedded ACC sensor for remote monitoring. 41 - Hua Min, Farrokh Alemi:
Insights into prescribing patterns for antidepressants: an evidence-based analysis. 42 - Rallou A. Chatzimichail, Aristides T. Hatjimihail:
Correction to: A software tool for applying Bayes' theorem in medical diagnostics. 43 - Yaxin Xiong, Yuan Gao, Yucheng Qi, Yingfei Zhi, Jia Xu, Kuo Wang, Qiuyue Yang, Changsong Wang, Mingyan Zhao, Xianglin Meng:
Accuracy of artificial intelligence algorithms in predicting acute respiratory distress syndrome: a systematic review and meta-analysis. 44 - Jingteng Li, Kimberley Zakka, John Booth, Louise Rigny, Samiran Ray, Mario Cortina-Borja, Payam M. Barnaghi, Neil Sebire:
Discovering patient groups in sequential electronic healthcare data using unsupervised representation learning. 45 - Daphne N. Katsarou, Eleni I. Georga, Maria A. Christou, Panagiota A. Christou, Stelios Tigas, Costas Papaloukas, Dimitrios I. Fotiadis:
Optimizing hypoglycaemia prediction in type 1 diabetes with Ensemble Machine Learning modeling. 46 - Lixuan Li, Yuekong Hu, Zhicheng Yang, Zeruxin Luo, Jiachen Wang, Wenqing Wang, Xiaoli Liu, Yuqiang Wang, Yong Fan, Pengming Yu, Zhengbo Zhang:
Exploring the assessment of post-cardiac valve surgery pulmonary complication risks through the integration of wearable continuous physiological and clinical data. 47 - Ali Atshan Abdulredah, Mohammed A. Fadhel, Laith Alzubaidi, Ye Duan, Monji Kherallah, Faiza Charfi:
Towards unbiased skin cancer classification using deep feature fusion. 48 - Nafiseh Hosseini, Hamid Tanzadehpanah, Amin Mansoori, Mostafa Sabzekar, Gordon A. Ferns, Habibollah Esmaily, Majid Ghayour-Mobarhan:
Using a robust model to detect the association between anthropometric factors and T2DM: machine learning approaches. 49 - Xiyu Cao, Jianli Ma, Xiaoyi He, Yufei Liu, Yang Yang, Yaqi Wang, Chuantao Zhang:
Unlocking the link: predicting cardiovascular disease risk with a focus on airflow obstruction using machine learning. 50 - Yuqi Zhang, Sijin Li, Peibiao Mai, Yanqi Yang, Niansang Luo, Chao Tong, Kuan Zeng, Kun Zhang:
A machine learning-based model for predicting paroxysmal and persistent atrial fibrillation based on EHR. 51 - Vanashree Sexton, Catherine Grimley, Jeremy Dale, Helen Atherton, Gary Abel:
Safety and accuracy of digitally supported primary and secondary urgent care telephone triage in England: an observational study using routine data. 52 - Yang Hu, Nicholas Cordella, Rebecca Grochow Mishuris, Ioannis Ch. Paschalidis:
Accounting for racial bias and social determinants of health in a model of hypertension control. 53 - Getahun Mulugeta, Temesgen Zewotir, Awoke Seyoum Tegegne, Mahteme Bekele Muleta, Leja Hamza Juhar:
Developing clinical prognostic models to predict graft survival after renal transplantation: comparison of statistical and machine learning models. 54 - YaNan Kan, YunChun Bao, Fuying Ye:
Decision experiences in joint replacement surgery for patients with haemophilic arthritis: A qualitative study. 55 - F. Pennestrì, Federico Cabitza, N. Picerno, Giuseppe Banfi:
Sharing reliable information worldwide: healthcare strategies based on artificial intelligence need external validation. Position paper. 56 - John Gabriel O. Marko, Ciprian-Daniel Neagu, P. B. Anand:
Examining inclusivity: the use of AI and diverse populations in health and social care: a systematic review. 57 - Delphine Bosson-Rieutort, Alexandra Langford-Avelar, Juliette Duc, Benjamin Dalmas:
Healthcare trajectories of aging individuals during their last year of life: application of process mining methods to administrative health databases. 58 - Jacqueline A. ter Stege, Ellen G. Engelhardt, Leonie A. E. Woerdeman, Hester Oldenburg, Jacobien M. Kieffer, Daniela E. E. Hahn, Frederieke van Duijnhoven, Martine A. van Huizum, Regina The, Klemens Karssen, Marianne Kuenen, Miranda A. Gerritsma, Quinten Ruhe, Irene S. Krabbe-Timmerman, Martijne van't Riet, Nikola Kimmings, Eveline M. L. Corten, Kerry A. Sherman, Arjen J. Witkamp, Eveline M. A. Bleiker:
Patients' and plastic surgeons' experiences with an online patient decision aid for breast reconstruction: considerations for nationwide implementation. 62 - Lesia I. Mochurad, Viktoriia Babii, Yuliia Boliubash, Yulianna Mochurad:
Improving stroke risk prediction by integrating XGBoost, optimized principal component analysis, and explainable artificial intelligence. 63 - Wudneh Ketema Moges, Awoke Seyoum Tegegne, Aweke A. Mitku, Esubalew Tesfahun, Solomon Hailemeskel:
Causal machine learning models for predicting low birth weight in midwife-led continuity care intervention in North Shoa Zone, Ethiopia. 64 - Xiangying Yang, Yao Lin, Amao Tang, Xiaokang Zeng, Weiying Dai, Qian Zhang, Li Ning:
Tough choices: the experience of family members of critically ill patients participating in ECMO treatment decision-making: a descriptive qualitative study. 65 - Ayako Yagahara, Masahito Uesugi, Hideto Yokoi:
Exploration of the optimal deep learning model for english-Japanese machine translation of medical device adverse event terminology. 66 - Xin Chen, Yong Liu, Feiping Hong, Ping Lu, Jiangtao Lu, Kaibiao Lin:
Bayesian learning-based agent negotiation model to support doctor-patient shared decision making. 67 - Ermanno Cordelli, Paolo Soda, Sara Citter, Elia Schiavon, Christian Salvatore, Deborah Fazzini, Greta Clementi, Michaela Cellina, Andrea Cozzi, Chandra Bortolotto, Lorenzo Preda, Luisa Francini, Matteo Tortora, Isabella Castiglioni, Sergio Papa, Diego Sona, Marco Alì:
Correction: Machine learning predicts pulmonary long Covid sequelae using clinical data. 68 - Mahtab Karami, Ehsan Nabovati, Nasim Mirpanahi:
Development of minimum data set and electronic registry for hemodialysis patients management. 69 - Hiroyuki Suzuki, Yusuke Tsuboko, Manabu Tamura, Ken Masamune, Kiotaka Iwasaki:
Synthesis of the clinical utilities and issues of intraoperative imaging devices in clinical reports: a systematic review and thematic synthesis. 70 - Yingchun He, Yi-haw Jan, Fan Yang, Yunru Ma, Chun Pei:
A novel method for assessing cycling movement status: an exploratory study integrating deep learning and signal processing technologies. 71 - Dehua Sun, Wei Chen, Jun He, Yongjian He, Haoqin Jiang, Hong Jiang, Dandan Liu, Lu Li, Min Liu, Zhigang Mao, Chenxue Qu, Linlin Qu, Ziyong Sun, Jianbiao Wang, Wenjing Wu, Xuefeng Wang, Wei Xu, Ying Xing, Chi Zhang, Jingxian Zhang, Lei Zheng, Shihong Zhang, Bo Ye, Ming Guan:
A novel method for screening malignant hematological diseases by constructing an optimal machine learning model based on blood cell parameters. 72 - Elham Sharifpoor, Maryam Okhovati, Mostafa Ghazizadeh Ahsaee, Mina Avaz Beigi:
Classifying and fact-checking health-related information about COVID-19 on Twitter/X using machine learning and deep learning models. 73 - Klaudia Grechuta, Pedram Shokouh, Valentina Bayer, Henrich Kraemer, Jeremy Gilbert, Susie Jin, Ahmad Alhussein:
Analytical validation of Exandra: a clinical decision support system for promoting guideline-directed therapy of type-2 diabetes in primary care - a collaborative study with experts from Diabetes Canada. 74 - Huibert-Jan Joosse, Chontira Chumsaeng-Reijers, Albert Huisman, Imo E. Hoefer, Wouter W. van Solinge, Saskia Haitjema, Bram van Es:
Haematology dimension reduction, a large scale application to regular care haematology data. 75 - Muzungu Hirwa Sylvain, Emmanuel Christian Nyabyenda, Melissa Uwase, Isaac Komezusenge, Fauste Ndikumana, Innocent Ngaruye:
Prediction of adverse pregnancy outcomes using machine learning techniques: evidence from analysis of electronic medical records data in Rwanda. 76 - Zhenli Chen, Jie Hao, Haixia Sun, Min Li, Yuan Zhang, Qing Qian:
Applications of digital health technologies and artificial intelligence algorithms in COPD: systematic review. 77 - Meghamala Sinha, Perry Haaland, Ashok K. Krishnamurthy, Bo Lan, Stephen A. Ramsey, Patrick L. Schmitt, Priya Sharma, Hao Xu, Karamarie Fecho:
Correction: Causal analysis for multivariate integrated clinical and environmental exposures data. 78 - Gurkiran Parmar, A. Fuchsia Howard, Heather Noga, Leah Tannock, Abdul-Fatawu Abdulai, Catherine Allaire, Sarah Lett, Jessica Sutherland, Edurne Lopez de Arbina, Lone Hummelshoj, Phillipa Bridge-Cook, Paul J. Yong:
Pelvic pain & endometriosis: the development of a patient-centred e-health resource for those affected by endometriosis-associated dyspareunia. 79 - Ui-jae Hwang, Oh-yun Kwon, Jun-hee Kim, Gyeong-tae Gwak:
Factors contributing to chronic ankle instability in parcel delivery workers based on machine learning techniques. 80 - Yusuf Alaca:
Machine learning via DARTS-Optimized MobileViT models for pancreatic Cancer diagnosis with graph-based deep learning. 81 - Jiyong An, Jiyun Kim, Leonard Sunwoo, Hyunyoung Baek, Sooyoung Yoo, Seunggeun Lee:
De-identification of clinical notes with pseudo-labeling using regular expression rules and pre-trained BERT. 82 - Thien Vu, Research Dawadi, Masaki Yamamoto, Jie Ting Tay, Naoki Watanabe, Yuki Kuriya, Ai Oya, Phap Ngoc Hoang Tran, Michihiro Araki:
Prediction of depressive disorder using machine learning approaches: findings from the NHANES. 83 - Hongnian Wang, Mingyang Zhang, Liyi Mai, Xin Li, Abdelouahab Bellou, Lijuan Wu:
An effective multi-step feature selection framework for clinical outcome prediction using electronic medical records. 84 - Toshiki Takeuchi, Hidehito Horinouchi, Ken Takasawa, Masami Mukai, Ken Masuda, Yuki Shinno, Yusuke Okuma, Tatsuya Yoshida, Yasushi Goto, Noboru Yamamoto, Yuichiro Ohe, Mototaka Miyake, Hirokazu Watanabe, Masahiko Kusumoto, Takashi Aoki, Kunihiro Nishimura, Ryuji Hamamoto:
A series of natural language processing for predicting tumor response evaluation and survival curve from electronic health records. 85 - Kayla V. Dlugos, Mjaye Mazwi, Robert Lao, Osami Honjo:
Noise is an underrecognized problem in medical decision making and is known by other names: a scoping review. 86 - Emma Radovich, Seema Das, Sulata Karki, Christian Bottomley, Ona L. McCarthy, Abha Shrestha, Loveday Penn-Kekana, Rajani Shakya, Biraj Man Karmacharya, Oona M. R. Campbell, Giorgia Gon:
Workload in antenatal care before and after implementation of an electronic decision support system: an observed time-motion study of healthcare providers in Nepal. 87 - Marija Stojchevska, Jonas Van Der Donckt, Nicolas Vandenbussche, Mathias De Brouwer, Koen Paemeleire, Femke Ongenae, Sofie Van Hoecke:
Uncovering the potential of smartphones for behavior monitoring during migraine follow-up. 88 - Gabriele Santangelo, Giovanna Nicora, Riccardo Bellazzi, Arianna Dagliati:
How good is your synthetic data? SynthRO, a dashboard to evaluate and benchmark synthetic tabular data. 89 - Zhikui Tian, JiZhong Zhang, Yadong Fan, Xuan Sun, Dongjun Wang, XiaoFei Liu, GuoHui Lu, Hongwu Wang:
Diabetic peripheral neuropathy detection of type 2 diabetes using machine learning from TCM features: a cross-sectional study. 90 - Kyung-Sik Ahn, Ji Hye Choi, Heejou Kwon, Seoyeon Lee, Yongwon Cho, Woo Young Jang:
Deep learning-based automated guide for defining a standard imaging plane for developmental dysplasia of the hip screening using ultrasonography: a retrospective imaging analysis. 91 - Hao Wang, Weike Zhou, Xia Wang, Yanni Xiao, Sanyi Tang, Biao Tang:
Modeling-based design of adaptive control strategy for the effective preparation of 'Disease X'. 92 - Valentina Cox, Preetika Sharma, Garima Singh Verma, Navneet Gill, Nadia Griffin Diamond-Smith, Mona Duggal, Vijay Kumar, Rashmi Bagga, Jasmeet Kaur, Pushpendra Singh, Alison El Ayadi:
User acceptability and perceived impact of a mobile interactive education and support group intervention to improve postnatal health care in northern India: a qualitative study. 93 - Yingjia Li, Xingping Zhao, Yanhua Zhou, Lina Gong, Enuo Peng:
Decision tree model for predicting ovarian tumor malignancy based on clinical markers and preoperative circulating blood cells. 94 - Luca Bernecker, Liv-Hege Johnsen, Torgil Riise Vangberg:
Intracranial stenosis prediction using a small set of risk factors in the Tromsø Study. 95 - Ming Chen, Dingyu Zhang:
Machine learning-based prediction of post-induction hypotension: identifying risk factors and enhancing anesthesia management. 96 - Karmen S. Williams, Saurabh Rahurkar, Shaun J. Grannis, Titus K. Schleyer, Brian E. Dixon:
Evolution of clinical Health Information Exchanges to population health resources: a case study of the Indiana network for patient care. 97 - Lisiane Pruinelli, Kiruthika Balakrishnan, Sisi Ma, Zhigang Li, Anji Wall, Jennifer C. Lai, Jesse Schold, Timothy Pruett, György J. Simon:
Transforming liver transplant allocation with artificial intelligence and machine learning: a systematic review. 98 - Yuan Li, Shuang Song, Liying Zhu, Xiaorun Zhang, Yijiao Mou, Maoxing Lei, Wenjing Wang, Zhen Tao:
Machine learning-based prediction model for patients with recurrent Staphylococcus aureus bacteremia. 99 - Daniel Niguse Mamo, Tesfahun Melese Yilma, Makda Fekadie Tewelgne, Yakub Sebastian, Tilahun Bizuayehu, Mequannent Sharew Melaku, Agmasie Damtew Walle:
Correction: 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. 100 - Juliana Alves Pegoraro, Antoine Guerder, Thomas Similowski, Philippe Salamitou, Jésus Gonzalez-Bermejo, Etienne Birmelé:
Detection of COPD exacerbations with continuous monitoring of breathing rate and inspiratory amplitude under oxygen therapy. 101 - Karamarie Fecho, Juan Jimenez Garcia, Hong Yi, Griffin Roupe, Ashok K. Krishnamurthy:
Correction: FHIR PIT: a geospatial and spatiotemporal data integration pipeline to support subject-level clinical research. 102 - Hassan Rajabi Moghadam, Parsa Rabbani, Majid Mazouchi, Hossein Akbari, Ehsan Nabovati, Soroosh Rabbani, Parissa Bagheri Toolaroud:
Design and evaluation of an electronic follow-up questionnaire for patients after percutaneous coronary intervention. 103 - Dongdong Wu, Feng Zhu, Yifan Sheng, Weiwei Zhang, Hanbo Le, Guoqiang Zhang, Lei Wang, Boer Yan:
Development and evaluation of a whole-chain management system for critical value reporting. 104 - Qun Tang, Yong Wang, Yan Luo:
An interpretable machine learning model with demographic variables and dietary patterns for ASCVD identification: from U.S. NHANES 1999-2018. 105 - Benedikt Langenberger, Daniel Schrednitzki, Andreas Halder, Reinhard Busse, Christoph Pross:
Leveraging machine learning for duration of surgery prediction in knee and hip arthroplasty - a development and validation study. 106 - Biniyam Tilahun, Berhanu Fikadie Endehabtu, Amare Minyihun, Tajebew Zayede, Adane Nigusie, Asmamaw Atnafu, Lemma Derseh, Tesfahun Hialemarima, Getasew Amare:
Practice, enablers and barriers of health information system accountability framework in Northwest Ethiopia 2023. 107 - Haixue Wang, Jianwei Wang, Wei Jing, Shanshan Dai, Deyun Zhang, Shijia Geng, Haijun Wang, Shenda Hong:
Reliability and validity of a novel single-lead portable electrocardiogram device for pregnant women: a comparative study. 108 - Jakub Fusiak, Kousha Sarpari, Inger Ma, Ulrich Mansmann, Verena S. Hoffmann:
Practical applications of methods to incorporate patient preferences into medical decision models: a scoping review. 109 - Razan Alkhanbouli, Hour Matar Abdulla Almadhaani, Farah Alhosani, Mecit Can Emre Simsekler:
The role of explainable artificial intelligence in disease prediction: a systematic literature review and future research directions. 110 - Justin Blackman, Richard Veerapen:
On the practical, ethical, and legal necessity of clinical Artificial Intelligence explainability: an examination of key arguments. 111 - Xianye Cao, Yongmei Liu, Zian Fang, Zhangxiang Zhu:
Offline visit intention of online patients: the Grice's maxims and patient involvement. 112 - Shivani Ranjan, Ayush Tripathi, Harshal Shende, Robin Badal, Amit Kumar, Pramod Yadav, Deepak Joshi, Lalan Kumar:
Deep learning-based classification of dementia using image representation of subcortical signals. 113 - Reza Afrisham, Yasaman Jadidi, Nariman Moradi, Seyed Mohammad Ayyoubzadeh, Reza Fadaei, Omid Kiani Ghalesardi, Vida Farrokhi, Shaban Alizadeh:
Circulating CCN6/WISP3 in type 2 diabetes mellitus patients and its correlation with insulin resistance and inflammation: statistical and machine learning analyses. 114 - Bauke Arends, Melle B. Vessies, Dirk van Osch, Arco Teske, Pim van der Harst, René van Es, Bram van Es:
Diagnosis extraction from unstructured Dutch echocardiogram reports using span- and document-level characteristic classification. 115 - Fabián Villena, Felipe Bravo-Marquez, Jocelyn Dunstan:
NLP modeling recommendations for restricted data availability in clinical settings. 116 - Sina Shool, Sara Adimi, Reza Saboori Amleshi, Ehsan Bitaraf, Reza Golpira, Mahmood Tara:
A systematic review of large language model (LLM) evaluations in clinical medicine. 117 - Na Hyeon Yu, Daeun Shin, Ik Hee Ryu, Tae Keun Yoo, Kyungmin Koh:
Retinal vein occlusion risk prediction without fundus examination using a no-code machine learning tool for tabular data: a nationwide cross-sectional study from South Korea. 118 - Abeer Aljohani:
AI-Driven decision-making for personalized elderly care: a fuzzy MCDM-based framework for enhancing treatment recommendations. 119 - Karin Antonia Scherer, Björn Büdenbender, Anja K. Blum, Britta Grüne, Maximilian C. Kriegmair, Maurice S. Michel, Georg W. Alpers:
Power asymmetry and embarrassment in shared decision-making: predicting participation preference and decisional conflict. 120 - Dandan Ge, Yong Xia, Zhonghua Zhang:
Analyzing the medical record homepages quality in a Chinese EMR system. 121 - Muhammad Abdullah, Khuram Ali Khan, Atiqe Ur Rahman:
An intelligent multi-attribute decision-making system for clinical assessment of spinal cord disorder using fuzzy hypersoft rough approximations. 122 - Brian Sullivan, Edward Barker, Louis MacGregor, Leo Gorman, Philip Williams, Ranjeet Bhamber, Matt Thomas, Stefan Gurney, Catherine Hyams, Alastair Whiteway, Jennifer A. Cooper, Chris McWilliams, Katy Turner, Andrew W. Dowsey, Mahableshwar Albur:
Comparing conventional and Bayesian workflows for clinical outcome prediction modelling with an exemplar cohort study of severe COVID-19 infection incorporating clinical biomarker test results. 123 - Issam Bennis, Safwane Mouwafaq:
Advancing AI-driven thematic analysis in qualitative research: a comparative study of nine generative models on Cutaneous Leishmaniasis data. 124 - Lia Schilling, Jana Kaden, Isabel Bán, Birte Berger-Höger:
Development of a generic decision guide for patients in oncology: a qualitative interview study. 125 - Martin Haimerl, Christoph Reich:
Risk-based evaluation of machine learning-based classification methods used for medical devices. 126 - Guixiong Huang, Weilin Zhu, Yulong Wang, Yizhou Wan, Kaifang Chen, Yanlin Su, Weijie Su, Lianxin Li, Pengran Liu, Xiao dong Guo:
Can some algorithms of machine learning identify osteoporosis patients after training and testing some clinical information about patients? 127 - Hammam Abu Attieh, Armin Müller, Felix Nikolaus Wirth, Fabian Prasser:
Pseudonymization tools for medical research: a systematic review. 128 - Mehmed Halilovic, Thierry Meurers, Karen Otte, Fabian Prasser:
Parallel privacy preservation through partitioning (P4): a scalable data anonymization algorithm for health data. 129 - Hesham Zaky, Eleni Fthenou, Luma Srour, Thomas Farrell, Mohammed Bashir, Nady El Hajj, Tanvir Alam:
Machine learning based model for the early detection of Gestational Diabetes Mellitus. 130 - Min Fang, Chengjie Pan, Xiaoyi Yu, Wenjuan Li, Ben Wang, Huajian Zhou, Zhenying Xu, Genyuan Yang:
Risk prediction of hyperuricemia based on particle swarm fusion machine learning solely dependent on routine blood tests. 131 - Shifat Islam, Rifat Shahriyar, Abhishek Agarwala, Marzia Zaman, Shamim Ahamed, Rifat Rahman, Moinul H. Chowdhury, Farhana Sarker, Khondaker Abdullah Al Mamun:
Artificial intelligence-based risk assessment tools for sexual, reproductive and mental health: a systematic review. 132 - Katharina Schuler, Ian-Christopher Jung, Maria Zerlik, Waldemar Hahn, Martin Sedlmayr, Brita Sedlmayr:
Context factors in clinical decision-making: a scoping review. 133 - Xin Rou Teh, Panu Looareesuwan, Oraluck Pattanaprateep, Anuchate Pattanateepapon, John Attia, Ammarin Thakkinstian:
Predictive ability of visit-to-visit glucose variability on diabetes complications. 134 - Boshra Farajollahi, Mohammadjavad Sayadi, Mostafa Langarizadeh, Ladan Ajori:
Presenting a prediction model for HELLP syndrome through data mining. 135 - Shirui Yu, Peng Dong, Junlian Li, Xiaoli Tang, Xiaoying Li:
A study on large-scale disease causality discovery from biomedical literature. 136 - Hyewon Jeon, Su-Yeon Yu, Olga Chertkova, Hyejung Yun, Yi Lin Ng, Yan Yoong Lim, Irina Efimenko, Djoubeir Mohamed Makhlouf:
Real-world insights of patient voices with age-related macular degeneration in the Republic of Korea and Taiwan: an AI-based Digital Listening study by Semantic-Natural Language Processing. 137 - Tong Zhu, Lin Tang, Man Qin, Wen-Wen Wang, Ling Chen:
Prediction of Gestational Diabetes Mellitus (GDM) risk in early pregnancy based on clinical data and ultrasound information: a nomogram. 138 - Ciara Frances Loughrey, Sarah Maguire, Pawel Dlotko, Lu Bai, Nick Orr, Anna Jurek-Loughrey:
A novel method for subgroup discovery in precision medicine based on topological data analysis. 139 - Lianne Brand, L. Mitrov-Winkelmolen, T. M. Kuijper, Tessa M. Bosch, Lisanne L. Krens:
Evaluation and validation of a clinical decision support system for dose optimisation in hospitalized patients with (morbid) obesity - a retrospective, observational study. 140 - Andrea Garcia-Lopez, Maritza Jiménez-Gómez, Andrea Gomez-Montero, Juan Camilo Gonzalez-Sierra, Santiago Cabas, Fernando Giron-Luque:
Survival analysis using machine learning in transplantation: a practical introduction. 141 - Matthias Bonigut, Ana Zhelyazkova, Mathias Weber, Stefanie Geiser-Metz, Markus Geis, Bernhard Heindl, Stephan Prückner:
COVID-19 vaccination and test management for healthcare workers - development, implementation and feasibility of a custom human resources information platform at a university hospital. 142 - Peter Hill, Jakob Lederman, Daniel Jonsson, Peter Bolin, Veronica Vicente:
Understanding EMS response times: a machine learning-based analysis. 143 - Jian Chen, Ganhong Wang, Kaijian Xia, Zhenni Wang, Luojie Liu, Xiaodan Xu:
Constructing an artificial intelligence-assisted system for the assessment of gastroesophageal valve function based on the hill classification (with video). 144 - Kajornvit Raghareutai, Watcharaporn Tanchotsrinon, Onuma Sattayalertyanyong, Uayporn Kaosombatwattana:
Development and validation of a machine learning model to predict hemostatic intervention in patients with acute upper gastrointestinal bleeding. 145 - Shahnam Sedigh Maroufi, Maryam Soleimani Movahed, Azar Ejmalian, Maryam Sarkhosh, Ali Behmanesh:
Post-Anesthesia Care Unit (PACU) readiness predictions using machine learning: a comparative study of algorithms. 146 - Yuepeng Wu, Yukang Zhang, Mei Xu, Chen Jinzhi, Yican Xue, Yuchen Zheng:
Effectiveness of various general large language models in clinical consensus and case analysis in dental implantology: a comparative study. 147 - Xiaomeng Lin, Chao Liu, Huaiyu Wang, Xiaohui Fan, Linfeng Li, Jiming Xu, Changlin Li, Yao Wang, Xudong Cai, Xin Peng:
A SuperLearner approach for predicting diabetic kidney disease upon the initial diagnosis of T2DM in hospital. 148 - Xiao-Han Vivian Yap, Kuan-Chi Tu, Nai-Ching Chen, Che-Chuan Wang, Chia-Jung Chen, Chung-Feng Liu, Tee-Tau Eric Nya, Ching-Lung Kuo:
Developing a high-performance AI model for spontaneous intracerebral hemorrhage mortality prediction using machine learning in ICU settings. 149 - Muhammad Attique Khan, Usama Shafiq, Ameer Hamza, Anwar M. Mirza, Jamel Baili, Dina Abdulaziz AlHammadi, Hee-Chan Cho, Byoungchol Chang:
A novel network-level fused deep learning architecture with shallow neural network classifier for gastrointestinal cancer classification from wireless capsule endoscopy images. 150 - Heike Hansen, Agata Menzel, Jan Hendrik Oltrogge-Abiry, Dagmar Lühmann, Martin Scherer, Ingmar Schäfer:
Association between patient characteristics and recommendations by medical on-call service 116117 in Germany: a cross sectional observational study. 151 - Su-Zhen Zhang, Hai-Yi Ding, Yi-Ming Shen, Bing Shao, Yuan-Yuan Gu, Qiu-Hua Chen, Hai-Dong Zhang, Ying-Hao Pei, Hua Jiang:
Harness machine learning for multiple prognoses prediction in sepsis patients: evidence from the MIMIC-IV database. 152 - Sandra Doveson, Agneta Wennman-Larsen, Per Fransson, Lena Axelsson:
Men's experiences of decision-making in life-prolonging treatments of metastatic castration-resistant prostate cancer - wishing for a process adapted to personal preferences: a prospective interview study. 153 - Izzet Turkalp Akbasli, Ahmet Ziya Birbilen, Ozlem Teksam:
Leveraging large language models to mimic domain expert labeling in unstructured text-based electronic healthcare records in non-english languages. 154 - Georg Duftschmid, Florian Katsch, Gabriela Ciortuz, Dipak Kalra, Christoph Rinner:
Reusing data from HL7 CDA-based shared EHR systems for clinical trial conduct: a method for analyzing feasibility. 155 - Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Hichem Sahli, Nikos Deligiannis, Emma Verelst, Bart Ilsen, Simon Van Eyndhoven, Lucie Seyler, Arne Witdouck, Gilles Darcis, Julien Guiot, Athanasios Giannakis, Jef Vandemeulebroucke:
Development and multicentric external validation of a prognostic COVID-19 severity model based on thoracic CT. 156 - Vânia Guimarães, Inês Sousa, Miguel Velhote Correia:
Detecting cognitive impairment in cerebrovascular disease using gait, dual tasks, and machine learning. 157 - Liang Wang, Yiqi Weng, Wenli Yu:
Anesthesia depth prediction from drug infusion history using hybrid AI. 158 - Haofang Zhang, Changbao Xu, Chenge Hu, Yunlai Xue, Daoke Yao, Yifan Hu, Ankang Wu, Miao Dai, Hang Ye:
Development of machine learning models to predict the risk of fungal infection following flexible ureteroscopy lithotripsy. 159 - Livia Lilli, Mario Santoro, Valeria Masiello, Stefano Patarnello, Luca Tagliaferri, Fabio Marazzi, Nikola Dino Capocchiano:
MISTIC: a novel approach for metastasis classification in Italian electronic health records using transformers. 160 - Enock Adjei Agyekum, Yu-guo Wang, Eliasu Issaka, Yong-zhen Ren, Gongxun Tan, Xiangjun Shen, Xiaoqin Qian:
Predicting the efficacy of microwave ablation of benign thyroid nodules from ultrasound images using deep convolutional neural networks. 161 - Olushina Olawale Awe, Peter Njoroge Mwangi, Samuel Kotva Goudoungou, Ruth Victoria Esho, Olanrewaju Samuel Oyejide:
Explainable AI for enhanced accuracy in malaria diagnosis using ensemble machine learning models. 162 - Sönmez Saglam, Veysel Uludag, Zekeriya Okan Karaduman, Mehmet Arican, Mücahid Osman Yücel, Rasit Emin Dalaslan:
Comparative evaluation of artificial intelligence models GPT-4 and GPT-3.5 in clinical decision-making in sports surgery and physiotherapy: a cross-sectional study. 163 - Jingrui Chen, Xiaomao Fan, Ruiquan Ge, Jing Xiao, Ruxin Wang, Wenjun Ma, Ye Li:
Towards interpretable sleep stage classification with a multi-stream fusion network. 164 - Linna Wang, Xinyu Guo, Haoyue Shi, Yuehang Ma, Han Bao, Lihua Jiang, Li Zhao, Ziliang Feng, Tao Zhu, Li Lu:
CRISP: A causal relationships-guided deep learning framework for advanced ICU mortality prediction. 165 - Xiao-Dan Zhang, Zong-Yong Zhang, Ming-Pei Zhao, Xiang-Tao Zhang, Neng Wang, Hong-Zhi Gao, Yuan-Xiang Lin, Zong-Qing Zheng:
Lactate dehydrogenase to albumin ratio and poor prognosis after thrombolysis in ischemic stroke patients: developing a novel nomogram. 166 - Rufa Zhang, Shiqi Zhu, Li Shi, Hao Zhang, Xiaodan Xu, Bo Xiang, Min Wang:
Automated machine learning for early prediction of systemic inflammatory response syndrome in acute pancreatitis. 167 - Fan Liu, Ting Li, Dongxu Zhou, Shengnan Shi, Xingrui Gong:
A machine learning-based framework for predicting postpartum chronic pain: a retrospective study. 168 - Domenico Paolo, Carlo Greco, Alessio Cortellini, Sara Ramella, Paolo Soda, Alessandro Bria, Rosa Sicilia:
Hierarchical embedding attention for overall survival prediction in lung cancer from unstructured EHRs. 169 - Chunni Zhou, Liu Shuai, Hao Hu, Carolina Oi Lam Ung, Yunfeng Lai, Lijun Fan, Wei Du, Yan Wang, Meng Li:
Applications of machine learning approaches for pediatric asthma exacerbation management: a systematic review. 170 - Luobu Gesang, Yangzong Suona, Zhuoga Danzeng, Bai Ci, Quzhen Gesang, WangJiu Cidan, Qiangba Dingzeng, Zhuoga Baima, Quzhen Zhaxi:
A machine learning-based severity stratification tool for high altitude pulmonary edema. 171 - Qiqi Yan, Guiling Liu, Ruifeng Wang, Dandan Li, Xiaoli Chen, Jingjing Cong, Deguang Wang:
Explainable machine learning algorithm to predict cardiovascular event in patients undergoing peritoneal dialysis. 172 - Abdelmalek Mouazer, Romain Leguillon, Nada Boudegzdame, Thibaud Levrard, Yoann Le Bars, Christian Simon, Brigitte Séroussi, Julien Grosjean, Romain Lelong, Catherine Letord, Stéfan Jacques Darmoni, Matthieu Schuers, Joël Belmin, Karima Sedki, Sophie Dubois, Hector Falcoff, Rosy Tsopra, Jean-Baptiste Lamy:
ABiMed: An intelligent and visual clinical decision support system for medication reviews and polypharmacy management. 173 - Markus Willing, Simon Ebbers, Christian Dresen, Marc Czolbe, Christoph Saatjohann, Sebastian Schinzel:
Simulating the overload of medical processes due to system failures during a cyberattack. 174 - Luchang Jin, Yanmin Tao, Ya Liu, Gang Liu, Lin Lin, Zixi Chen, Sihan Peng:
SEM model analysis of diabetic patients' acceptance of artificial intelligence for diabetic retinopathy. 175 - Kathrin Gemesi, Nina Döllinger, Natascha-Alexandra Weinberger, Erik Wolf, David Mal, Sebastian Keppler, Stephan Wenninger, Emily Bader, Carolin Wienrich, Claudia Luck-Sikorski, Marc Erich Latoschik, Johann Habakuk Israel, Mario Botsch, Christina Holzapfel:
Virtual body image exercises for people with obesity - results on eating behavior and body perception of the ViTraS pilot study. 176 - Mehtab Ur Rahman, Cem Direkoglu:
A hybrid approach for binary and multi-class classification of voice disorders using a pre-trained model and ensemble classifiers. 177 - Songchang Chen, Jia Li, Xiao Zhang, Wenqiu Xu, Zhixu Qiu, Siyao Yan, Wenrui Zhao, Zhiguang Zhao, Peirun Tian, Qiang Zhao, Qun Zhang, Weiping Chen, Huahua Li, Xiaohong Ruan, Gefei Xiao, Sufen Zhang, Liqing Hu, Jie Qin, Wuyan Huang, Zhongzhe Li, Shunyao Wang, Rui Zhang, Shang Huang, Xin Wang, Yao Yao, Jian Ran, Danling Cheng, Qi Luo, Teng Pan, Ruyun Gao, Jing Zheng, Yuxuan Wang, Cong Liu, Xianling Cao, Xuanyou Zhou, Naixin Xu, Lanlan Zhang, Xu Han, Haolin Wang, Suihua Feng, Shuyuan Li, Jianguo Zhang, Lijian Zhao, Fengxiang Wei:
Predicting preeclampsia in early pregnancy using clinical and laboratory data via machine learning model. 178 - Pedro Pons-Suñer, François Signol, Noemi Alvarez, Claudia Sargas, Sara Dorado, Jose Vicente Gil Ortí, Juan A. Delgado Sanchis, Marta Llop, Laura Arnal, Rafael Llobet, Juan-Carlos Perez-Cortes, Rosa Ayala, Eva Barragán:
Identification of relevant features using SEQENS to improve supervised machine learning models predicting AML treatment outcome. 179 - Shamus Toomath, Emily J. Hibbert:
Auto-expansion software prompting reduces abbreviation use in electronic hospital discharge letters: an observational pre- and post-intervention study. 180 - Tebeli E. Sekoai, Astrid Turner, Janine Mitchell:
Insights into healthcare workers' perceptions of electronic medical record system utilization: a cross-sectional study in Mafeteng district, Lesotho. 181 - Emmanuel Onah, Jude Uche Eze, Abdullahi Salahudeen Abdulraheem, Ugochukwu Gabriel Ezigbo, Kosisochi Chinwendu Amorha, Fidele Ntie-Kang:
Optimizing unsupervised feature engineering and classification pipelines for differentiated thyroid cancer recurrence prediction. 182 - Dan Wu, Jiye An, Shan Nan, Yutong She, Huilong Duan, Ning Deng:
A knowledge-based clinical decision support system for personalized health examination items in China: design and evaluation. 183 - Ali Bou Nassif, Nour Ayman Abujabal, Aya AlChikh Omar:
Classification of lung cancer severity using gene expression data based on deep learning. 184 - Ya Yang, Pan Wang, Chengzhou Yu, Jing Zhu, Jinping Sheng:
Application of artificial intelligence medical imaging aided diagnosis system in the diagnosis of pulmonary nodules. 185 - Xiefei Hu, Shenshen Zhi, Yang Li, Yuming Cheng, Haiping Fan, Haorong Li, Zihao Meng, Jiaxin Xie, Shu Tang, Wei Li:
Development and application of an early prediction model for risk of bloodstream infection based on real-world study. 186 - Kuang-Ming Kuo, Chao Sheng Chang:
A meta-analysis of the diagnostic test accuracy of artificial intelligence predicting emergency department dispositions. 187 - Dipendra Pant, Øystein Nytrø, Bennett L. Leventhal, Carolyn E. Clausen, Kaban Koochakpour, Line Stien, Odd Sverre Westbye, Roman Koposov, Thomas Brox Røst, Thomas Frodl, Norbert Skokauskas:
Secondary use of health records for prediction, detection, and treatment planning in the clinical decision support system: a systematic review. 190 - Chanhee Lee, Taesung Park:
Deep learning health space model for ordered responses. 191 - Tamrat Endebu, Girma Taye, Wakgari Deressa:
Development of a machine learning prediction model for loss to follow-up in HIV care using routine electronic medical records in a low-resource setting. 192 - Veronica Coppini, Giulia Ferraris, Maria Vittoria Ferrari, Dario Monzani, Margherita Dahò, Elisa Fragale, Roberto Grasso, Ricardo Pietrobon, Aline Machiavelli, Lucas Teixeira, Victor Galvão, Gabriella Pravettoni:
The Beacon Wiki: Mapping oncological information across the European Union. 193 - Mette Hulbaek, Sofie Ronja Petersen, Charlotte Ibsen:
Psychometric properties of the Danish SDM-Q-9 questionnaire for shared decision-making in patients with pelvic floor disorders and low back pain: item response theory modelling. 194 - Jie Xu, Erkang Jing, Yidong Chai:
A deep learning model integrating domain-specific features for enhanced glaucoma diagnosis. 195 - Yi-Chen Chen, Sheng-Hsun Lee, Huan Sheu, Sheng-Hsuan Lin, Chih-Chien Hu, Shih-Chen Fu, Cheng-Pang Yang, Yu-Chih Lin:
Enhancing responses from large language models with role-playing prompts: a comparative study on answering frequently asked questions about total knee arthroplasty. 196 - Fetlework Gubena Arage, Zinabu Bekele Tadese, Eliyas Addisu Taye, Tigist Kifle Tsegaw, Tsegasilassie Gebremariam Abate, Eyob Akalewold Alemu:
Cervical cancer screening uptake and its associated factor in Sub-Sharan Africa: a machine learning approach. 197 - Shuxing Wei, Hongmeng Dong, Weidong Yao, Ying Chen, Xiya Wang, Wenqing ji, Yongsheng Zhang, Shubin Guo:
Machine learning models for predicting in-hospital mortality from acute pancreatitis in intensive care unit. 198 - Güzin Özdagoglu, Muhammet Damar, Fatih Safa Erenay, Hale Turhan Damar, Osman Himmetoglu, Andrew D. Pinto:
Monitoring patient pathways at a secondary healthcare services through process mining via Fuzzy Miner. 199 - Jiabin Yu, Qi Liu, Chenjie Xu, Qinli Zhou, Jiajun Xu, Lingying Zhu, Chen Chen, Yahan Zhou, Binggang Xiao, Lin Zheng, Xiaofeng Zhou, Fengming Zhang, Yuhang Ye, Hongmei Mi, Dongping Zhang, Li Yang, Zhiwei Wu, Jiayi Wang, Ming Chen, Zhirui Zhou, Haoyang Wang, Vicky Y. Wang, Enyu Wang, Dong Xu:
Deep learning-driven modality imputation and subregion segmentation to enhance high-grade glioma grading. 200 - Edmond Pui Hang Choi, Ellie Bostwick Andres, Heidi Sze Lok Fan, Lai Ming Ho, Alice Wai Chi Fung, Kevin Wing Chung Lau, Neda Hei Tung Ng, Monique Yeung, Janice M. Johnston:
Using self-generated identification codes to match anonymous longitudinal data in a sexual health study of secondary school students: a cohort study. 201 - Mafalda Proença-Portugal, Bruno Heleno, Sónia Dias, Ana Gama, Sofia Baptista:
General practitioners' perceptions on decision aids in healthcare: a qualitative study in Portugal. 202 - Shixin Yuan, Zihuan Yang, Junjie Li, Changde Wu, Songqiao Liu:
AI-Powered early warning systems for clinical deterioration significantly improve patient outcomes: a meta-analysis. 203 - Yusuke Kobayashi, Naoki Fujiwara, Yuki Murakami, Shoichi Ishida, Sho Kinguchi, Tatsuya Haze, Kengo Azushima, Akira Fujiwara, Hiromichi Wakui, Masayoshi Sakakura, Kei Terayama, Nobuhito Hirawa, Tetsuo Isozaki, Hiroaki Yasuzaki, Hajime Takase, Yuichiro Yano, Kouichi Tamura:
Visualizing fatigue mechanisms in non-communicable diseases: an integrative approach with multi-omics and machine learning. 204 - Peter Hill, Daniel Jonsson, Jakob Lederman, Peter Bolin, Veronica Vicente:
Uncovering nonlinear patterns in time-sensitive prehospital breathing emergencies: an exploratory machine learning study. 205 - Moana Gelu-Simeon, Adel Mamou, Georgette Saint-Georges, Marceline Alexis, Marie Sautereau, Yassine Mamou, Jimmy Simeon:
Deep learning model applied to real-time delineation of colorectal polyps. 206 - Shilpa Choudhary, Sandeep Kumar, Pammi Sri Siddhaarth, Guntu Charitasri, Monali Gulhane, Nitin Rakesh, Feslin Anish Mon, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene:
Advancing blood cell detection and classification: performance evaluation of modern deep learning models. 207 - Yawei Yang, Junjie Tang, Liping Ma, Feng Wu, Xiaoqing Guan:
A systematic comparison of short-term and long-term mortality prediction in acute myocardial infarction using machine learning models. 208 - Qiong Ma, Runqi Meng, Ruiting Li, Ling Dai, Fu Shen, Jie Yuan, Danqi Sun, Manman Li, Caixia Fu, Rong Li, Feng Feng, Yonggang Li, Tong Tong, Yajia Gu, Yiqun Sun, Dinggang Shen:
Multitask deep learning model based on multimodal data for predicting prognosis of rectal cancer: a multicenter retrospective study. 209 - Yang Li, Kun Zou, Yixuan Wang, Yucheng Zhang, Jingtao Zhong, Wu Zhou, Fang Tang, Lu Peng, Xusheng Liu, Lili Deng:
Predicting rapid kidney function decline in middle-aged and elderly Chinese adults using machine learning techniques. 210 - Daphne Wijnbergen, Rajaram Kaliyaperumal, Kees Burger, Luiz Olavo Bonino da Silva Santos, Barend Mons, Marco Roos, Eleni Mina:
The FAIR data point populator: collaborative FAIRification and population of FAIR data points. 211 - Lijuan Zhu, Xiaomeng Shi, Lusong Tang, Haruhiko Machida, Lili Yang, Meixiang Ma, Ruoshui Ha, Yun Shen, Fang Wang, Dazhi Chen:
Deep learning image reconstruction and adaptive statistical iterative reconstruction on coronary artery calcium scoring in high risk population for coronary heart disease. 212 - Asghar Ehteshami, Ahamad-Reza Raeisi, Maedeh Rashedi, Yasin Sabet Kouhanjani:
Framework for key benchmarking indicators in hospital information system. 213 - Aohua Song, Bobin Zhang, Wei Feng, Jinping Hou, Xiaohong Die, Yi Wang, Zhenhua Guo:
Risk factors and nomogram model for short-term postoperative complications in patients with hirschsprung disease. 214 - Mehak Arshad, Muhammad Attique Khan, Nouf Abdullah Almujally, Areej Alasiry, Mehrez Marzougui, Yunyoung Nam:
Multiclass skin lesion classification and localziation from dermoscopic images using a novel network-level fused deep architecture and explainable artificial intelligence. 215 - Arabella Scantlebury, Katherine Jones, Joy Adamson, Melissa Harden, Catriona McDaid, Amy Grove:
Can we ever have evidence-based decision making in orthopaedics? A qualitative evidence synthesis and conceptual framework. 216 - Anne N. Heirman, Japke F. Petersen, Abrahim Al-Mamgani, Simone E. J. Eerenstein, Bertram J. de Kleijn, Frank Hoebers, Bernard M. Tijink, Lisette van der Molen, Gyorgy B. Halmos, Richard Dirven, Martijn M. Stuiver, Michiel W. M. van den Brekel:
The impact of a patient decision aid for patients with advanced laryngeal carcinoma - a multicenter study. 217 - Alison W. Henderson, Maryam Soltani, Bjoern D. Suckow, Alison R. Kern, Daniel D. Matlock, Joseph M. Czerniecki, Daniel Norvell:
AMPDECIDE amputation level patient decision aids: a feasibility study. 218 - Arjun Kidavunil Paduvilan, Lawrence Livingston Godlin Atlas, Sampath Kumar Kuppuchamy, Rajesh Kumar Dhanaraj, Muthuvel Subramanian, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene:
Attention-driven hybrid deep learning and SVM model for early Alzheimer's diagnosis using neuroimaging fusion. 219 - Fabio Dennstädt, Maximilian Schmalfuss, Johannes Zink, Janna Hastings, Roberto Gaio, Max Schmerder, Nikola Cihoric, Paul Martin Putora:
A CDE-based data structure for radiotherapeutic decision-making in breast cancer. 220 - Nasser Shoeibi, Majid Abrishami, Seyedeh Maryam Hosseini, Mohammadreza Ansari Astaneh, Razieh Farrahi, Bahareh Gharib, Fatemeh Neghabi, Mojtaba Abrishami, Mehdi Sakhaee, Mehrdad Motamed Shariati:
Development and validation of machine learning classifiers for predicting treatment-needed retinopathy of prematurity. 221 - Caroline G. Watts, Kirstie G. McLoughlin, Stephen Wade, Amelia K. Smit, H. Peter Soyer, Pablo Fernandez-Penas, David C. Whiteman, Pascale Guitera, Gillian Reyes-Marcelino, Karen Canfell, Anne E. Cust, Michael Caruana:
A systematic review of microsimulation models for skin cancer. 222 - Ningyi Cheng, Yukun Chen, Lei Jin, Liangwan Chen:
Nonlinear association between visceral fat metabolism score and heart failure: insights from LightGBM modeling and SHAP-Driven feature interpretation in NHANES. 223 - Sareh Keshvardoost, Kambiz Bahaadinbeigy, Soodabeh Shahidsales, Farhad Fatehi, Sharareh Rostam Niakan Kalhori:
Priority setting of teleoncology services, and their barriers, and facilitators from oncologists and patients perspectives: a mixed-methods study. 224 - Samaneh Bakhshayesh, Arash Gholoobi, Khadijeh Moulaei, Farnaz Khoshrounejad, Mohammad Reza Mazaheri Habibi, Zahra Ebnehoseini, Majd Jangi, Saeid Eslami:
From hospital to home: a comprehensive platform supporting cardiac rehabilitation post-revascularization. 225 - Yanjie Wang, Yu Song, Chengfeng Zhang, Jiaqiao Ren, Pansheng Xue, Yawen Hou, Zheng Chen:
A dynamic prediction model for predicting the time at which patients with MCI progress to AD based on time-dependent covariates. 226 - Yidan Chen, Wendie Lv, Xuhui Liu, Mingmin Yan, Jing Zheng, Dan Yan, Dan Wang, Yulin Yao, Bingxi Liu, Yahui Li, Yue Wan:
Development of a prediction model for hemorrhagic transformation after intravenous thrombolysis in patients with acute ischemic stroke: a retrospective analysis. 227 - Sanghoon Han, Yu-rim Lee, Ji-ho Lee, JinHee Jeon, Choongki Min, Kyungnam Kim, Donghoon Kim, Myung Pyo Kim, Young Mi Park, Uiri An, Kyoung Min Moon:
Deep learning-based cough classification using application-recorded sounds: a transfer learning approach with VGGish. 228 - Yang Zi-yang, Wang Qi, Xingyan Liu, Haolin Li, Shouhong Wang, Danqing Yu, Xuebiao Wei:
Mortality predicting models for patients with infective endocarditis: a machine learning approach. 229 - Jiale He, Zixia Liu, Xiaopo Tang:
A deep learning model for predicting systemic lupus erythematosus-associated epitopes. 230 - Jérôme Donati, Michel Beyer, Johannes Brokmeier, Klaus W. Neuhaus, Florian M. Thieringer, Britt-Isabelle Berg:
Artificial intelligence in dentistry: insights and expectations from Swiss dental professionals. 231 - Jean Digitale, Deborah Franzon, Jin Ge, Charles McCulloch, Mark J. Pletcher, Efstathios D. Gennatas:
Expert-augmented machine learning for predicting extubation readiness in the pediatric intensive care unit. 232 - Letekirstos Gebreegziabher Gebretsadik, Abate Bekele Belachew, Gebregziabher Berihu Gebrekidan, Alemayohu Bayray, Akberet Lemlem, Lewtnesh Berihun Dangew, Haftom T. Abebe:
Health information system in primary health care units of the Central Zone, Tigray, Northern Ethiopia. 233 - Lin Song, Xingwei Wu, Mengjia Xu, Ling Xue, Xun Yu, Zongqi Cheng, Chenrong Huang, Liyan Miao:
Development of an ensemble prediction model for acute graft-versus-host disease in allogeneic transplantation based on machine learning. 234 - Shuifa Sun, Qin Hu, Fengjiao Xu, Feng Hu, Yirong Wu, Ben Wang:
Medical named entity recognition based on domain knowledge and position encoding. 235 - Joel Jia Wei Ng, Eugene Wang, Xinyan Zhou, Kevin Xiang Zhou, Charlene Xing Le Goh, Gabriel Zheng Ning Sim, Hiang Khoon Tan, Serene Si Ning Goh, Qin Xiang Ng:
Evaluating the performance of artificial intelligence-based speech recognition for clinical documentation: a systematic review. 236 - Richard Noll, Alexandra Berger, Dominik Kieu, Tobias Mueller, Ferdinand O. Bohmann, Angelina Mueller, Svea Holtz, Philipp Stoffers, Sebastian Hoehl, Oya Güngöze, Jan-Niklas Eckardt, Holger Storf, Jannik Schaaf:
Assessing GPT and DeepL for terminology translation in the medical domain: A comparative study on the human phenotype ontology. 237 - Francesco Branda, Pierangelo Veltri, Francesco Chiodo, Massimo Ciccozzi, Fabio Scarpa, Pietro Hiram Guzzi:
Computational modeling of infectious diseases: insights from network-based simulations on measles. 238 - Guoliang Lyu:
Data-driven decision making in patient management: a systematic review. 239 - Xin-Yue Song, Xin-Peng Xie, Wen-Jing Xu, Yu-Jia Cao, Bin-Miao Liang:
Machine learning for detection of diffusion abnormalities-related respiratory changes among normal, overweight, and obese individuals based on BMI and pulmonary ventilation parameters: an observational study. 240 - Junming Shi, Alan E. Hubbard, Nicholas Fong, Romain Pirracchio:
Implicit bias in ICU electronic health record data: measurement frequencies and missing data rates of clinical variables. 241 - Viola Angyal, Ádám Bertalan, Péter Domján, Elek Dinya:
Exploring the possibilities and limitations of customized large language model to support and improve cervical cancer screening. 242 - Kfeel Arshad, Saman Ardalan, Björn Schreiweis, Björn Bergh:
Integrating an AI platform into clinical IT: BPMN processes for clinical AI model development. 243 - Camilo Scherkl, Theresa Dierkes, Michael Metzner, David Czock, Hanna M. Seidling, Walter E. Haefeli, Andreas D. Meid:
Towards a prescribing monitoring system for medication safety evaluation within electronic health records: a scoping review. 244 - Marjolein A. G. van Offenbeek, Oskar P. Roemeling, Anne Burggraaf:
Exploring professionals' experiences with secure messaging in Dutch outpatient clinics: emerging differences in use frequencies and types across medical specialties. 245 - Yan Li, Xiaoping Ma, Zhenhui Zhao, Li Li, Chunyan Gao, Dan Liu, Bingyu Li, Bing Zhao:
Clinicopathological observation and prognostic factors of invasive breast cancer with medullary in Xinjiang. 246 - Eugenia Alleva, Isotta Landi, Leslee J. Shaw, Erwin P. Bottinger, Ipek Ensari, Thomas J. Fuchs:
Keyword-optimized template insertion for clinical note classification via prompt-based learning. 247 - Yi Liu, Yehua Xu, Lixia Guo, Zhongbin Chen, Xueqin Xia, Feng Chen, Li Tang, Hua Jiang, Caixia Xie:
Development and external validation of machine learning models for the early prediction of malnutrition in critically ill patients: a prospective observational study. 248 - Ludovico Gennaro Cobuccio, Vincent Faivre, Rainer Tan, Alan Vonlanthen, Fenella Beynon, Emmanuel Barchichat, Alain Fresco, Quentin Girard, Sinan Ucak, Sylvain Schaufelberger, Ibrahim Evans Mtebene, Peter Agrea, Emmanuel Kalisa, Gillian A. Levine, Martin Norris, Sabine Renggli, Alix Miauton, Lisa Cleveley, Kristina Keitel, Julien Thabard, Valérie D'Acremont, Alexandra V. Kulinkina:
medAL-suite: A software solution for creating and deploying complex clinical decision support algorithms. 249 - Michal Pruski, Simone Willis, Kathleen Withers:
A narrative review of the use of PROMs and machine learning to impact value-based clinical decision-making. 250 - Kaier Gu, Saisai Lu:
Machine learning-based predictive tools and nomogram for in-hospital mortality in critically ill cancer patients: development and external validation using retrospective cohorts. 251 - Dibyajyoti Maity, Rohit Satish, Raghu Dharmaraju, Vijay Chandru, Rajesh Sundaresan, Harpreet Singh, Debnath Pal:
MIDAS: a technology-enabled hub-and-spoke system for the collection and dissemination of high-quality medical datasets in India. 252 - Zhen Li, Jun Xie, Qian He, Chong Li:
Association between blood urea nitrogen to albumin ratio and 28-day mortality in ICU patients with acute respiratory failure: a retrospective analysis of MIMIC-IV database. 253 - Steven N. Hart, Patrick L. Day, Christopher A. Garcia:
Streamlining medical software development with CARE lifecycle and CARE agent: an AI-driven technology readiness level assessment tool. 254 - Songping He, Xiangxi Li, Fangyu Peng, Jiazhi Liao, Xia Lu, Hui Guo, Xin Tan, Yanyan Chen:
A novel method to predict the haemoglobin concentration after kidney transplantation based on machine learning: prediction model establishment and method optimization. 255 - Yijie Qian, Hongying Pan, Jun Chen, Hongyang Hu, Mei Fang, Chen Huang, Yihong Xu, Yang Gao:
Development of an explainable machine learning model for predicting device-related pressure injuries in clinical settings. 256 - Hsuan-Ming Lin, JrJung Lyu:
A holistic framework for intradialytic hypotension prediction using generative adversarial networks-based data balancing. 257 - Magnus Gray, Leihong Wu:
Benchmarking bias in embeddings of healthcare AI models: using SD-WEAT for detection and measurement across sensitive populations. 258 - Kelemua Aschale Yeneakal, Gizaw Hailiye Teferi, Temesgen T. Mihret, Abraham Keffale Mengistu, Sefefe Birhanu Tizie, Maru Meseret Tadele:
Predicting antiretroviral therapy adherence status of adult HIV-positive patients using machine-learning Northwest, Ethiopia, 2025. 259 - Christian Engesser, Maurice Henkel, Aurelien F. Stalder, Horn Tobias, Pawel Trotsenko, Viktor Alargkof, Philip Cornford, Helge Seifert, Bram Stieltjes, Christian Wetterauer:
Accompanying the prostate cancer patient pathway: evaluation of novel clinical decision support software in patients with early diagnosis of prostate cancer. 260 - Kaier Gu, Yang Liu:
Utilizing machine learning models for predicting outcomes in acute pancreatitis: development and validation in three retrospective cohorts. 261 - Cheng-Yu Tsai, Xiu-Rong Huang, Po-Tsun Kuo, Tzu-Tao Chen, Yun-Kai Yeh, Kuan-Yuan Chen, Arnab Majumdar, Chien-Hua Tseng:
Advancing shock prediction: leveraging prior knowledge and self-controlled data for enhanced model accuracy and generalizability. 262 - Bingkui Ren, Yuping Zhang, Siying Chen, Jinglong Dai, Junci Chong, Yifei Zhong, Mengkai Deng, Shaobo Jiang, Zhigang Chang:
Interpretable prediction of hospital mortality in bleeding critically ill patients based on machine learning and SHAP. 263 - Xinyu Zhu, Denglu Lu, Yang Wu, Yanqi Lu, Liang He, Yanyun Deng, Xingyu Mu, Wei Fu:
An interpretable machine learning model for predicting bone marrow invasion in patients with lymphoma via 18F-FDG PET/CT: a multicenter study. 264 - Hoang Van Dung, Vu Manh Tan, Nguyen Thi Dieu, Van Linh Pham, Nguyen Van Khai, Tran Thi Ngan, Nguyen Thi Thu Phuong:
Development and external validation of a machine learning model for predicting drug-induced immune thrombocytopenia in a real-world hospital cohort. 265 - Maliheh Namazkhan, Karel Jan van Tuijn, Maurits Kaptein, Remco van Horssen:
Predicting individual hemoglobin abnormalities using longitudinal data in clinical practice. 266 - Alessandro Jatobá, Paula de Castro-Nunes, Paloma Palmieri, Omara Machado Araujo de Oliveira, Patricia Passos Simões, Valéria da S. Fonseca, Paulo Victor Rodrigues de Carvalho:
Predictive estimations of health systems resilience using machine learning. 267 - Zihang Chen, Song-Feng Li, Ling-Xin Xu, Meng-Qiu Tian, Feng Li, Yu-Xian Yang, Chen-Fei Wu, Guan-Qun Zhou, Li Lin, Yao Lu, Ying Sun:
Deep learning-based delineation of whole-body organs at risk empowering adaptive radiotherapy. 268 - Laura Bergomi, Giovanna Nicora, Marta Anna Orlowska, Chiara Podrecca, Riccardo Bellazzi, Caterina Fregosi, Francesco Salinaro, Marco Bonzano, Giuseppe Crescenzi, Francesco Speciale, Santi Di Pietro, Valentina Zuccaro, Erika Asperges, Paolo Sacchi, Pietro Valsecchi, Elisabetta Pagani, Michele Catalano, Chandra Bortolotto, Lorenzo Preda, Enea Parimbelli:
Which explanations do clinicians prefer? A comparative evaluation of XAI understandability and actionability in predicting the need for hospitalization. 269 - Shaopeng Liu, Wanlu Hu, Chun-Chun Wang, Linlin Zhuo, Xu Lu:
A new approach for microbe-disease association prediction: incorporating representation learning of latent relationships. 270 - Yingchun Zhu, Danchen Luo, Xiaoyue Shen, Qingqing Shi, Haining Lv, Simin Zhang, Feihong Ye, Na Kong:
Application of ChatGPT-based artificial intelligence in the diagnosis and management of polycystic ovary syndrome. 271 - Zhi Li, Wenjing Zhang, Jinyi Huang, Ling Lu, Dongming Xie, Jinrong Zhang, Jiamin Liang, Yuepeng Sui, Linyuan Liu, Jianjun Zou, Ao Lin, Lei Yang, Fuman Qiu, Zhaoting Hu, Mei Wu, Yibin Deng, Xin Zhang, Jiachun Lu:
Machine learning and discriminant analysis model for predicting benign and malignant pulmonary nodules. 272 - Meri Varkila, Giacomo Lancia, Maarten van Smeden, Marc J. M. Bonten, Cristian Spitoni, Olaf L. Cremer:
Early detection of ICU-acquired infections using high-frequency electronic health record data. 273 - Johan Helleberg, Anna Sundelin, Johan Mårtensson, Olav Rooyackers, Ragnar Thobaben:
Beyond labels: determining the true type of blood gas samples in ICU patients through supervised machine learning. 275 - Yong Si, Armin Abdollahi, Negin Ashrafi, Greg Placencia, Elham Pishgar, Kamiar Alaei, Maryam Pishgar:
Optimized feature selection and advanced machine learning for stroke risk prediction in revascularized coronary artery disease patients. 276
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