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JMIR Medical Informatics|March 15, 2021
A Natural Language Processing-Based Virtual Patient Simulator and Intelligent Tutoring System for the Clinical Diagnostic Process: Simulator Development and Case StudyRaffaello Furlan, Mauro Gatti, Roberto Menè, et al.
JMIR Medical Informatics|March 16, 2021
Emotional Attitudes of Chinese Citizens on Social Distancing During the COVID-19 Outbreak: Analysis of Social Media DataLining Shen, Rui Yao, Wenli Zhang, et al.
JMIR Medical Informatics|December 10, 2021
On Missingness Features in Machine Learning Models for Critical Care: Observational StudyJanmajay Singh, Masahiro Sato, Tomoko Ohkuma
JMIR Medical Informatics|March 18, 2021
Machine Learning Models for Image-Based Diagnosis and Prognosis of COVID-19: Systematic ReviewMahdieh Montazeri, Roxana ZahediNasab, Ali Farahani, et al.
JMIR Medical Informatics|November 17, 2021
Machine Learning-Based Hospital Discharge Prediction for Patients With Cardiovascular Diseases: Development and Usability StudyImjin Ahn, Hansle Gwon, Heejun Kang, et al.
JMIR Medical Informatics|January 19, 2022
Machine Learning for Cardiovascular Outcomes From Wearable Data: Systematic Review From a Technology Readiness Level Point of ViewArman Naseri Jahfari, David Tax, Marcel Reinders, et al.
JMIR Medical Informatics|January 19, 2022
Correction: Candidemia Risk Prediction (CanDETEC) Model for Patients With Malignancy: Model Development and Validation in a Single-Center Retrospective StudyJunsang Yoo, Si-Ho Kim, Sujeong Hur, et al.
JMIR Medical Informatics|March 23, 2021
Early Prediction of Unplanned 30-Day Hospital Readmission: Model Development and Retrospective Data AnalysisPeng Zhao, Illhoi Yoo, Syed H Naqvi
JMIR Medical Informatics|March 25, 2021
Application of Artificial Intelligence for Screening COVID-19 Patients Using Digital Images: Meta-analysisTahmina Nasrin Poly, Md Mohaimenul Islam, Yu-Chuan Jack Li, et al.
JMIR Medical Informatics|November 12, 2021
The Relationship Between Electronic Health Record System and Performance on Quality Measures in the American College of Rheumatology's Rheumatology Informatics System for Effectiveness (RISE) Registry: Observational StudyNevin Hammam, Zara Izadi, Jing Li, et al.
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