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September 5, 2025Mathematical Biology and BioinformaticsOpen Access

Modern Machine Learning Approaches for Predicting Type 2 Diabetes Mellitus

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Authors

TBTatiana V. ButkovaLKLiudmila I. KulikovaKMKristina A. Malsagova

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Overview

This review explores machine learning's role in predicting type 2 diabetes complications and hypoglycemia risk.

Key Points

  • Using modern machine learning algorithms improves predictions for type 2 diabetes and hypoglycemia risk.
  • Over 830 million people globally live with diabetes, with type 2 diabetes being the most prevalent form.
  • Continuous glucose monitoring combined with AI models allows for personalized treatment and real-time data analysis.
  • Addressing data imbalance in predictive models enhances reliability and effectiveness of diabetes management.

Cite This Study

Butkova et al. (2025) studied this question.

synapsesocial.com/papers/68bb4e016d6d5674bcd027d0https://doi.org/10.17537/2025.20.301
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