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

Research Methodology - AI (14) Innovative Methods in Public Health and Surveillance (350) Machine Learning (1585) Diabetes (212) Diabetes Health Services and System Innovations (124) Diabetes Surveillance and Epidemiology (29) Diabetes-specific EHR Improvements (33) Tools, Programs and Algorithms (292) Clinical Informatics (1091)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58463, first published .
Machine Learning–Based Prediction for High Health Care Utilizers by Using a Multi-Institutional Diabetes Registry: Model Training and Evaluation

Machine Learning–Based Prediction for High Health Care Utilizers by Using a Multi-Institutional Diabetes Registry: Model Training and Evaluation

Machine Learning–Based Prediction for High Health Care Utilizers by Using a Multi-Institutional Diabetes Registry: Model Training and Evaluation

Authors of this article:

Joshua Kuan Tan1 Author Orcid Image ;   Le Quan2 Author Orcid Image ;   Nur Nasyitah Mohamed Salim1 Author Orcid Image ;   Jen Hong Tan2 Author Orcid Image ;   Su-Yen Goh3 Author Orcid Image ;   Julian Thumboo1 Author Orcid Image ;   Yong Mong Bee3 Author Orcid Image
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