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JMIR Medical Informatics|February 6, 2015
An intelligent content discovery technique for health portal content managementDaswin De Silva, Frada Burstein
JMIR Medical Informatics|June 26, 2020
Medical Emergency Resource Allocation Model in Large-Scale Emergencies Based on Artificial Intelligence: Algorithm DevelopmentLin Du
JMIR Medical Informatics|May 12, 2023
An Electronic Dashboard to Improve Dosing of Hydroxychloroquine Within the Veterans Health Care System: Time Series AnalysisAnna Montgomery, Gary Tarasovsky, Zara Izadi, et al.
JMIR Medical Informatics|July 17, 2020
Medical Insurance Information Systems in China: Mixed Methods StudyYazi Li, Chunji Lu, Yang Liu
JMIR Medical Informatics|July 15, 2020
Model-Based Algorithms for Detecting Peripheral Artery Disease Using Administrative Data From an Electronic Health Record Data System: Algorithm Development StudyElizabeth Hope Weissler, Steven J Lippmann, Michelle M Smerek, et al.
JMIR Medical Informatics|July 25, 2020
Prediction of Medical Concepts in Electronic Health Records: Similar Patient AnalysisNhat Le, Matthew Wiley, Antonio Loza, et al.
JMIR Medical Informatics|July 25, 2020
Applicability of an Automated Model and Parameter Selection in the Prediction of Screening-Level PTSD in Danish Soldiers Following Deployment: Development Study of Transferable Predictive Models Using Automated Machine LearningKaren-Inge Karstoft, Ioannis Tsamardinos, Kasper Eskelund, et al.
JMIR Medical Informatics|July 7, 2020
Accurate Prediction of Coronary Heart Disease for Patients With Hypertension From Electronic Health Records With Big Data and Machine-Learning Methods: Model Development and Performance EvaluationZhenzhen Du, Yujie Yang, Jing Zheng, et al.
JMIR Medical Informatics|March 1, 2023
Identification of Postpartum Depression in Electronic Health Records: Validation in a Large Integrated Health Care SystemJeff Slezak, David Sacks, Vicki Chiu, et al.
JMIR Medical Informatics|August 24, 2022
Predicting Abnormalities in Laboratory Values of Patients in the Intensive Care Unit Using Different Deep Learning Models: Comparative StudyAhmad Ayad, Ahmed Hallawa, Arne Peine, et al.
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