This paper is in the following e-collection/theme issue:

Machine Learning (953) Clinical Information and Decision Making (855) Electronic Health Records (747) Decision Support for Health Professionals (697) Natural Language Processing (470) Artificial Intelligence (617) Secondary Use of Clinical Data for Research and Surveillance (248) Diabetes-specific EHR Improvements (19)

Published on in Vol 10 , No 6 (2022) :June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36958, first published .
Predicting Risk of Hypoglycemia in Patients With Type 2 Diabetes by Electronic Health Record–Based Machine Learning: Development and Validation

Predicting Risk of Hypoglycemia in Patients With Type 2 Diabetes by Electronic Health Record–Based Machine Learning: Development and Validation

Predicting Risk of Hypoglycemia in Patients With Type 2 Diabetes by Electronic Health Record–Based Machine Learning: Development and Validation

Authors of this article:

Hao Yang 1 Author Orcid Image ;   Jiaxi Li 2 Author Orcid Image ;   Siru Liu 3 Author Orcid Image ;   Xiaoling Yang 4 Author Orcid Image ;   Jialin Liu 1, 5 Author Orcid Image
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