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

Formative Evaluation of Digital Health Interventions (2976) Clinical Information and Decision Making (1755) Decision Support for Health Professionals (1427) Machine Learning (1876) Computer-Aided Diagnosis (203) Diabetes Prevention (107) Artificial Intelligence in Diabetes Care and Prevention (45)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57874, first published .
AI Machine Learning–Based Diabetes Prediction in Older Adults in South Korea: Cross-Sectional Analysis

AI Machine Learning–Based Diabetes Prediction in Older Adults in South Korea: Cross-Sectional Analysis

AI Machine Learning–Based Diabetes Prediction in Older Adults in South Korea: Cross-Sectional Analysis

Authors of this article:

Hocheol Lee1 Author Orcid Image ;   Myung-Bae Park1 Author Orcid Image ;   Young-Joo Won1 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Chen M, Niu T, Sun Y, Chang M, Liu S, Xu T, Cui H. Development and Validation of a Nomogram-Based Risk Prediction Model for Diabetic Retinopathy in Elderly Adults with Type 2 Diabetes Mellitus. Diabetes, Metabolic Syndrome and Obesity 2025;Volume 18:2509 View