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JMIR Medical Informatics|May 6, 2020
Deep Learning-Based Prediction of Refractive Error Using Photorefraction Images Captured by a Smartphone: Model Development and Validation StudyJaehyeong Chun, Youngjun Kim, Kyoung Yoon Shin, et al.
JMIR Medical Informatics|May 6, 2020
Use of Machine Learning Techniques for Case-Detection of Varicella Zoster Using Routinely Collected Textual Ambulatory Records: Pilot Observational StudyCorrado Lanera, Paola Berchialla, Ileana Baldi, et al.
JMIR Medical Informatics|May 7, 2020
Effect of Online Health Information Seeking on Anxiety in Hospitalized Pregnant Women: Cohort StudyFabiana Coglianese, Giulia Beltrame Vriz, Nicola Soriani, et al.
JMIR Medical Informatics|April 14, 2020
Software for the Diagnosis of Sarcopenia in Community-Dwelling Older Adults: Design and Validation StudyLydia Lera, Bárbara Angel, Carlos Márquez, et al.
JMIR Medical Informatics|May 5, 2020
Multi-Level Representation Learning for Chinese Medical Entity Recognition: Model Development and ValidationZhichang Zhang, Lin Zhu, Peilin Yu
JMIR Medical Informatics|June 23, 2020
Toward Optimal Heparin Dosing by Comparing Multiple Machine Learning Methods: Retrospective StudyLongxiang Su, Chun Liu, Dongkai Li, et al.
JMIR Medical Informatics|April 30, 2020
Factors Influencing the Adoption of Health Information Standards in Health Care Organizations: A Systematic Review Based on Best Fit Framework SynthesisLu Han, Jing Liu, Richard Evans, et al.
JMIR Medical Informatics|April 30, 2020
A Graph Convolutional Network-Based Method for Chemical-Protein Interaction Extraction: Algorithm DevelopmentErniu Wang, Fan Wang, Zhihao Yang, et al.
JMIR Medical Informatics|April 30, 2020
The Development of the Military Service Identification Tool: Identifying Military Veterans in a Clinical Research Database Using Natural Language Processing and Machine LearningDaniel Leightley, David Pernet, Sumithra Velupillai, et al.
JMIR Medical Informatics|May 1, 2020
Machine Learning Models for the Prediction of Postpartum Depression: Application and Comparison Based on a Cohort StudyWeina Zhang, Han Liu, Vincent Michael Bernard Silenzio, et al.
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