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

Formative Evaluation of Digital Health Interventions (3519) Clinical Information and Decision Making (2111) Decision Support for Health Professionals (1663) Machine Learning (2266) Diabetes Prevention (132) Artificial Intelligence in Diabetes Care and Prevention (66) Computer-Aided Diagnosis (281)

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 (12) 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
  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
  3. Drozdova L, Egorov V, Drapkina O. Artificial intelligence application in the prevention of chronic non-communicable diseases: a systematic review of publications from 2022 to 2025. Russian Journal of Preventive Medicine 2025;28(12):21 View
  4. Prashanthan A, Prashanthan J. Optimized Explainable Predictive Models for Risk-Based Prioritization in Type 2 Diabetes Prevention among Women with Prior Gestational Diabetes. Journal of Future Artificial Intelligence and Technologies 2026;2(4):734 View
  5. Ngo V, Bharot N, Donohue F, Kearney P, Breslin J, Roantree M. Analyzing and predicting diabetes with deep learning and visual insights. Intelligence-Based Medicine 2026;14:100368 View
  6. Kang Y, Yeo A, Lee S. Machine Learning-Based Prediction of Dental Caries Risk in Preschool Children Using Data from the CAMBRA-Kids Mobile Application. Future 2026;4(2):15 View
  7. Saida O. Said , Mohamad Zulkufli N, Ahmad Puzi A, Shah A. Diabetes Prediction using Machine Learning Algorithms with Performance metrics and Holdout method on Egyptian dataset. VFAST Transactions on Software Engineering 2026;14(2):46 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
  3. Kumar A, Bhaidasna H, Jha A. 2025 International Conference on Sustainable Communication Networks and Application (ICSCN). Machine Learning for Early Detection of Diabetes: A Systematic Review of Methods, Datasets, and Challenges View
  4. Paramasivam V, Ghosh S, Rajendran S, Selvalakshmi B, Chowdhury R, S R. 2026 Second International Conference on Multi-Agent Systems for Collaborative Intelligence (ICMSCI). Machine Learning-Based Early-Stage Diabetes Risk Prediction: A Comparative Analysis of Symptom-Driven Clinical Screening Model View
  5. S A. 2025 IEEE International Conference on Communication Networks and Computing (CNC). A GBM-Based Machine Learning Framework for Early Prediction and Diagnosis of Diabetes Mellitus using Structured Clinical Data Toward Improved Health and Well-Being View