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

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
  2. Natesh M, Ranjan Kumar H, Vinutha K, Tapkire M, Sulthana S, Swetha K, Bharath K. Improved Diabetes Detection Through Integration of External Risk Factors and Machine Learning Techniques. SN Computer Science 2025;6(8) View

Conference Proceedings

  1. Malviya S, Vanshita , Dixit S, Gupta V, Dhiman H. 2025 International Conference on Artificial intelligence and Emerging Technologies (ICAIET). Metabolism and Machine Learning for Better Diabetes Care View
  2. Arulanantham D, Y P R, Samara G, R J A, Kumar J, Vani N. 2025 International Conference on Recent Innovation in Science Engineering and Technology (ICRISET). Reliable and Systematic Diabetes Prediction Based on Health Indicators using Machine Learning Algorithm View