• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 113 matches

• 2020
• 
  David Chushig-Muzo, Cristina Soguero-Ruíz, Andries Petrus Engelbrecht, Pablo de Miguel-Bohoyo, Inmaculada Mora-Jiménez:
  Data-Driven Visual Characterization of Patient Health-Status Using Electronic Health Records and Self-Organizing Maps. IEEE Access 8: 137019-137031 (2020)
• 
  Meghan Reading Turchioe, Lisa V. Grossman, Annie C. Myers, Dawon Baik, Parag Goyal, Ruth M. Masterson Creber:
  Visual analogies, not graphs, increase patients' comprehension of changes in their health status. J. Am. Medical Informatics Assoc. 27(5): 677-689 (2020)
• 
  Yulia A. Shichkina, Galina V. Kataeva, Yulia A. Irishina, Elizaveta S. Stanevich:
  The use of mobile phones to monitor the status of patients with Parkinson's disease. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 11(2): 55-73 (2020)
• 
  Margot Deviaene, Pascal Borzee, Merel van Gilst, Johannes P. van Dijk, Sebastiaan Overeem, Bertien Buyse, Dries Testelmans, Sabine Van Huffel, Carolina Varon:
  Multilevel Interval Coded Scoring to Assess the Cardiovascular Status of Sleep Apnea Patients Using Oxygen Saturation Markers. IEEE Trans. Biomed. Eng. 67(10): 2839-2848 (2020)
• 
  Yiwen Meng, William Speier, Chrisandra Shufelt, Sandy Joung, Jennifer E. Van Eyk, C. Noel Bairey Merz, Mayra Lopez, Brennan Spiegel, Corey W. Arnold:
  A Machine Learning Approach to Classifying Self-Reported Health Status in a Cohort of Patients With Heart Disease Using Activity Tracker Data. IEEE J. Biomed. Health Informatics 24(3): 878-884 (2020)
• 
  Kadhim Takleef Kadhim, Ali M. Alsahlany, Salim Muhsin Wadi, Hussein T. Kadhum:
  An Overview of Patient's Health Status Monitoring System Based on Internet of Things (IoT). Wirel. Pers. Commun. 114(3): 2235-2262 (2020)
• 
  Mariel Barbachan e Silva, Pilib Ó Broin:
  An optimised ensemble for antibody-mediated rejection status prediction in kidney transplant patients. CEC 2020: 1-8
• 
  Lea Reis, Christian Maier, Jens Mattke, Tim Weitzel:
  Chatbots in Healthcare: Status Quo, Application Scenarios for Physicians and patients and Future Directions. ECIS 2020
• 
  Sofia B. Dias, Athina Grammatikopoulou, Nikos Grammalidis, José A. Diniz, Theodore Savvidis, Evdokimos I. Konstantinidis, Panagiotis D. Bamidis, Michael Stadtschnitzer, Dhaval Trivedi, Lisa Klingelhöfer, Zoe Katsarou, Sevasti Bostantzopoulou, Kosmas Dimitropoulos, Leontios J. Hadjileontiadis:
  Motion Analysis on Depth Camera Data to Quantify Parkinson's Disease Patients' Motor Status Within the Framework of I-Prognosis Personalized Game Suite. ICIP 2020: 3264-3268
• 
  Daniel M. Lang, Jan C. Peeken, Stephanie E. Combs, Jan J. Wilkens, Stefan Bartzsch:
  Deep Learning Based HPV Status Prediction for Oropharyngeal Cancer Patients. CoRR abs/2011.08555 (2020)
• 2019
• 
  Ahmad Chaddad, Christian Desrosiers, Bassam Abdulkarim, Tamim Niazi:
  Predicting the Gene Status and Survival Outcome of Lower Grade Glioma Patients With Multimodal MRI Features. IEEE Access 7: 75976-75984 (2019)
• 
  Junfeng Xiong, Xiaoyang Li, Lin Lu, Lawrence H. Schwartz, Xiaolong Fu, Jun Zhao, Binsheng Zhao:
  Implementation Strategy of a CNN Model Affects the Performance of CT Assessment of EGFR Mutation Status in Lung Cancer Patients. IEEE Access 7: 64583-64591 (2019)
• 
  Leon Weninger, Christoph Haarburger, Dorit Merhof:
  Robustness of Radiomics for Survival Prediction of Brain Tumor Patients Depending on Resection Status. Frontiers Comput. Neurosci. 13: 73 (2019)
• 
  Ioannis G. Tsoulos, Georgia Mitsi, Athanassios Stavrakoudis, Spyros Papapetropoulos:
  Application of Machine Learning in a Parkinson's Disease Digital Biomarker Dataset Using Neural Network Construction (NNC) Methodology Discriminates Patient Motor Status. Frontiers ICT 6: 10 (2019)
• 
  Péter Bándi, Oscar Geessink, Quirine Manson, Marcory Van Dijk, Maschenka Balkenhol, Meyke Hermsen, Babak Ehteshami Bejnordi, Byungjae Lee, Kyunghyun Paeng, Aoxiao Zhong, Quanzheng Li, Farhad Ghazvinian Zanjani, Svitlana Zinger, Keisuke Fukuta, Daisuke Komura, Vlado Ovtcharov, Shenghua Cheng, Shaoqun Zeng, Jeppe Thagaard, Anders B. Dahl, Huangjing Lin, Hao Chen, Ludwig Jacobsson, Martin Hedlund, Melih Çetin, Eren Halici, Hunter Jackson, Richard Chen, Fabian Both, Jörg Franke, Heidi Küsters-Vandevelde, Willem Vreuls, Peter Bult, Bram van Ginneken, Jeroen van der Laak, Geert Litjens:
  From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge. IEEE Trans. Medical Imaging 38(2): 550-560 (2019)
• 
  Brian T. Bucher, Jianlin Shi, Robert J. Pettit, Jeffrey P. Ferraro, Wendy W. Chapman, Adi V. Gundlapalli:
  Determination of Marital Status of Patients from Structured and Unstructured Electronic Healthcare Data. AMIA 2019
• 
  Yanshan Wang, Sunghwan Sohn:
  Trajectories of Functional Status of Cognitively-impaired Patients in EHRs. AMIA 2019
• 
  Sherrie Xie, Rebecca A. Hubbard, Blanca E. Himes:
  Analysis of Spatial Trends in Smoking Status Among Patients with Obstructive Airway Diseases Highlight Potential for Targeted Interventions. AMIA 2019
• 
  Yulia A. Shichkina, Galina V. Kataeva, Yulia A. Irishina, Elizaveta S. Stanevich:
  The Architecture of the System for Monitoring the Status in Patients with Parkinson's Disease Using Mobile Technologies. IDC 2019: 531-540
• 
  Pedro Sobreiro, Abílio Oliveira:
  The Importance of ICT and Wearable Devices in Monitoring the Health Status of Coronary Patients. IHSED 2019: 705-711
• 
  Isaac Shiri, Hassan Maleki, Ghasem Hajianfar, Hamid Abdollahi, Saeed Ashrafinia, Mathieu Hatt, Mehrdad Oveisi, Arman Rahmim:
  PET/CT Radiomic Sequencer for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients. CoRR abs/1906.06623 (2019)
• 
  Isaac Shiri, Hassan Maleki, Ghasem Hajianfar, Hamid Abdollahi, Saeed Ashrafinia, Mathieu Hatt, Mehrdad Oveisi, Arman Rahmim:
  Next Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Approaches. CoRR abs/1907.02121 (2019)
• 
  Sajad Darabi, Mohammad Kachuee, Majid Sarrafzadeh:
  Unsupervised Representation for EHR Signals and Codes as Patient Status Vector. CoRR abs/1910.01803 (2019)
• 2018
• 
  Yangyang Ding, Xin Ma, Youqing Wang:
  Health status monitoring for ICU patients based on locally weighted principal component analysis. Comput. Methods Programs Biomed. 156: 61-71 (2018)
• 
  Adelzon Assis de Paula, Denise Franqueira Pires, Pedro Alves Filho, Kátia Regina Valente de Lemos, Eduardo Barçante, Antonio Guilherme Pacheco:
  A comparison of accuracy and computational feasibility of two record linkage algorithms in retrieving vital status information from HIV/AIDS patients registered in Brazilian public databases. Int. J. Medical Informatics 114: 45-51 (2018)
• 
  Lei Chen, Han Zhang, Junfeng Lu, Kim-Han Thung, Abudumijiti Aibaidula, Luyan Liu, Songcan Chen, Lei Jin, Jinsong Wu, Qian Wang, LiangFu Zhou, Dinggang Shen:
  Multi-Label Nonlinear Matrix Completion With Transductive Multi-Task Feature Selection for Joint MGMT and IDH1 Status Prediction of Patient With High-Grade Gliomas. IEEE Trans. Medical Imaging 37(8): 1775-1787 (2018)
• 
  Yiwen Meng, William Speier, Eldin Dzubur, Brennan M. R. Spiegel, Corey W. Arnold:
  Predicting Patient Health Status using Activity Tracker Data. AMIA 2018
• 
  Libo Wang, Rajani Kaimal, Neera Ahuja, Dipanjan Banerjee:
  Worsening Functional Status is Associated With Increased Interest in Mobile Health technologies in Patients With Heart Failure. AMIA 2018
• 
  John Wang:
  Real-Time ECG Monitoring for Patients With Implantable Pacemaker - A Review of Current Status. CinC 2018: 1-4
• 
  Yoshiki Kawata, Noboru Niki, Masahiko Kusumoto, Hironobu Ohmatsu, Keiju Aokage, Genichiro Ishii, Yuji Matsumoto, Takaaki Tsuchida, Kenji Eguchi, Masahiro Kaneko:
  Prognostic importance of pleural attachment status measured by pretreatment CT images in patients with stage IA lung adenocarcinoma: Measurement of the ratio of the interface between nodule and neighboring pleura to nodule surface area. Medical Imaging: Computer-Aided Diagnosis 2018: 105751G

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