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JMIR Medical Informatics|September 30, 2025
Assessment of a Digital Platform for Routine Outcome Monitoring in Psychotherapy: Usability Study and Thematic AnalysisMattia Vincenzo Olive, Antonino La Tona, Gianluca Lo Coco, et al.
JMIR Medical Informatics|September 29, 2025
Using Large Language Models for Chronic Disease Management Tasks: Scoping ReviewHenry Mukalazi Serugunda, Ouyang Jianquan, Hasifah Kasujja Namatovu, et al.
JMIR Medical Informatics|June 23, 2020
The Role of Health Technology and Informatics in a Global Public Health Emergency: Practices and Implications From the COVID-19 PandemicJiancheng Ye
JMIR Medical Informatics|May 9, 2020
Deep Learning Neural Networks to Predict Serious Complications After Bariatric Surgery: Analysis of Scandinavian Obesity Surgery Registry DataYang Cao, Scott Montgomery, Johan Ottosson, et al.
JMIR Medical Informatics|June 20, 2020
Summarizing Complex Graphical Models of Multiple Chronic Conditions Using the Second Eigenvalue of Graph Laplacian: Algorithm Development and ValidationSyed Hasib Akhter Faruqui, Adel Alaeddini, Mike C Chang, et al.
JMIR Medical Informatics|September 16, 2021
Models Predicting Hospital Admission of Adult Patients Utilizing Prehospital Data: Systematic Review Using PROBAST and CHARMSAnn Corneille Monahan, Sue S Feldman
JMIR Medical Informatics|April 23, 2020
Predicting Inpatient Falls Using Natural Language Processing of Nursing Records Obtained From Japanese Electronic Medical Records: Case-Control StudyHayao Nakatani, Masatoshi Nakao, Hidefumi Uchiyama, et al.
JMIR Medical Informatics|September 18, 2025
Home Monitoring Delivered Through the Emergency Department for Outpatients With COVID-19: COVID19@Home Aachen Pilot Cohort StudyLukas Niekrenz, Christian Hübel, Christopher Plata, et al.
JMIR Medical Informatics|September 23, 2025
Virtual Transition of Care Clinics and Associated Readmission Rates: 3-Year Retrospective Cohort StudySarah F Horman, Milla Kviatkovsky, Edward Castillo, et al.
JMIR Medical Informatics|September 17, 2025
An Artificial Intelligence-Based Framework for Predicting Emergency Department Overcrowding: Development and Evaluation StudyOrhun Vural, Bunyamin Ozaydin, Khalid Y Aram, et al.
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