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JMIR Medical Informatics|April 13, 2015
Prioritization of free-text clinical documents: a novel use of a bayesian classifierMark Singh, Akansh Murthy, Shridhar Singh
JMIR Medical Informatics|April 18, 2023
A SNOMED CT Mapping Guideline for the Local Terms Used to Document Clinical Findings and Procedures in Electronic Medical Records in South Korea: Methodological StudySumi Sung, Hyeoun-Ae Park, Hyesil Jung, et al.
JMIR Medical Informatics|April 5, 2021
Weight-Based Framework for Predictive Modeling of Multiple Databases With Noniterative Communication Without Data Sharing: Privacy-Protecting Analytic Method for Multi-Institutional StudiesJi Ae Park, Min Dong Sung, Ho Heon Kim, et al.
JMIR Medical Informatics|July 25, 2020
The Kaiser Permanente Northern California Adult Alcohol Registry, an Electronic Health Records-Based Registry of Patients With Alcohol Problems: Development and ImplementationVanessa A Palzes, Constance Weisner, Felicia W Chi, et al.
JMIR Medical Informatics|July 25, 2020
Role of Artificial Intelligence in Patient Safety Outcomes: Systematic Literature ReviewAvishek Choudhury, Onur Asan
JMIR Medical Informatics|July 25, 2020
Appropriateness of Overridden Alerts in Computerized Physician Order Entry: Systematic ReviewTahmina Nasrin Poly, Md Mohaimenul Islam, Hsuan-Chia Yang, et al.
JMIR Medical Informatics|July 28, 2020
Embedding "Smart" Disease Coding Within Routine Electronic Medical Record Workflow: Prospective Single-Arm TrialDee Mangin, Jennifer Lawson, Krzysztof Adamczyk, et al.
JMIR Medical Informatics|July 28, 2020
Therapeutic Duplication in Taiwan Hospitals for Patients With High Blood Pressure, Sugar, and Lipids: Evaluation With a Mobile Health Mapping ToolWei-Chih Kan, Shu-Chun Kuo, Tsair-Wei Chien, et al.
JMIR Medical Informatics|July 28, 2020
Temporal Expression Classification and Normalization From Chinese Narrative Clinical Texts: Pattern Learning ApproachXiaoyi Pan, Boyu Chen, Heng Weng, et al.
JMIR Medical Informatics|July 29, 2020
Predicting the Development of Type 2 Diabetes in a Large Australian Cohort Using Machine-Learning Techniques: Longitudinal Survey StudyLei Zhang, Xianwen Shang, Subhashaan Sreedharan, et al.
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