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Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73190, first published .
Doctor typing medical history form on laptop near medical equipment.

Development of a 5-Year Risk Prediction Model for Transition From Prediabetes to Diabetes Using Machine Learning: Retrospective Cohort Study

Development of a 5-Year Risk Prediction Model for Transition From Prediabetes to Diabetes Using Machine Learning: Retrospective Cohort Study

Journals

  1. 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
  2. Yu F, Dong Y, Ye N, Xing C, Lyu X, Chen Y, Yang X, Pan S. Multiparameter MRI assessment of metformin and exercise effects on skeletal muscle in prediabetes: a randomized controlled trial. European Radiology Experimental 2025;9(1) View
  3. Ghazali N, Suryana Y, Nurdin N, Jenie R, Priandana K, Alatas H, Irzaman I, Ramli M. Development of a blood HbA1c level detection model based on Support Vector Regression (SVR) using microtest data. BIO Web of Conferences 2026;234:02017 View
  4. Zhu Y, He Y, Fang S, Chen H, Jiang J, Ming Y, Leng S. Predictive performance of cardiometabolic indices for prediabetes progression to diabetes and reversion to normoglycemia in adults: a cohort study. Frontiers in Nutrition 2026;13 View
  5. Zhang B, Li P, Huang C, Qi Y, Chen L, Zhang L, Lin Q, Huang Y, Zhou J, Zhou X, Zhang L, Qian Y, Yang S. Development of a biochemical model for identifying prediabetes in Chinese adults: a case-control study. BMC Endocrine Disorders 2026;26(1) View

Books/Policy Documents

  1. Ralte V, Lalhmingliana , Thihlum Z, Lalrohlui F, Kumar N, Kumar B, Zohmingthanga J, Lalrinpuia B. ICT: Applications and Social Interfaces. View

Conference Proceedings

  1. Hasib E, Rahman S, Imtiaz M, Hamim S, Mridha M. 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN). A Data-Driven Approach to Type 2 Diabetes Prediction Using Machine Learning Techniques View