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JMIR Medical Informatics|May 21, 2020
Detecting False Alarms by Analyzing Alarm-Context Information: Algorithm Development and ValidationChrystinne Fernandes, Simon Miles, Carlos José Pereira Lucena
JMIR Medical Informatics|June 6, 2020
Reliability of Supervised Machine Learning Using Synthetic Data in Health Care: Model to Preserve Privacy for Data SharingDebbie Rankin, Michaela Black, Raymond Bond, et al.
JMIR Medical Informatics|April 23, 2020
Development and Performance of a Web-Based Tool to Adjust Urine Toxicology Testing Frequency: Retrospective StudyKenneth B Chapman, Martijn M Pas, Diana Abrar, et al.
JMIR Medical Informatics|April 29, 2020
A Deep Artificial Neural Network-Based Model for Prediction of Underlying Cause of Death From Death Certificates: Algorithm Development and ValidationLouis Falissard, Claire Morgand, Sylvie Roussel, et al.
JMIR Medical Informatics|June 2, 2020
Precision Health-Enabled Machine Learning to Identify Need for Wraparound Social Services Using Patient- and Population-Level Data Sets: Algorithm Development and ValidationSuranga N Kasthurirathne, Shaun Grannis, Paul K Halverson, et al.
JMIR Medical Informatics|May 8, 2020
An App Developed for Detecting Nurse Burnouts Using the Convolutional Neural Networks in Microsoft Excel: Population-Based Questionnaire StudyYi-Lien Lee, Willy Chou, Tsair-Wei Chien, et al.
JMIR Medical Informatics|May 12, 2020
An Electronic Clinical Decision Support System for the Management of Low Back Pain in Community Pharmacy: Development and Mixed Methods Feasibility StudyAron Simon Downie, Mark Hancock, Christina Abdel Shaheed, et al.
JMIR Medical Informatics|May 30, 2020
Categorization of Third-Party Apps in Electronic Health Record App Marketplaces: Systematic Search and AnalysisJordon Ritchie, Brandon Welch
JMIR Medical Informatics|May 4, 2021
Correction: A Patient Journey Map to Improve the Home Isolation Experience of Persons With Mild COVID-19: Design Research for Service Touchpoints of Artificial Intelligence in eHealthQian He, Fei Du, Lianne W L Simonse
JMIR Medical Informatics|June 20, 2020
Ensemble Learning Models Based on Noninvasive Features for Type 2 Diabetes Screening: Model Development and ValidationTianzhou Yang, Li Zhang, Liwei Yi, et al.
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