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

Machine Learning (1401) Clinical Information and Decision Making (1340) Electronic Health Records (971) Decision Support for Health Professionals (1147) Natural Language Processing (650) Artificial Intelligence (1216) Secondary Use of Clinical Data for Research and Surveillance (326) Diabetes-specific EHR Improvements (29)

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 Yang1 Author Orcid Image ;   Jiaxi Li2 Author Orcid Image ;   Siru Liu3 Author Orcid Image ;   Xiaoling Yang4 Author Orcid Image ;   Jialin Liu1, 5 Author Orcid Image
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