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August 8, 2025Frontiers in EndocrinologyOpen Access

Development and internal validation of a machine learning algorithm for the risk of type 2 diabetes mellitus in children with obesity

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Authors

JYJin‐Xia YangYLYue LiuRHRong Huang

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Overview

Model predicts type 2 diabetes risk in children with obesity, highlighting key clinical factors.

Key Points

  • The SVM algorithm accurately predicts type 2 diabetes risk, identifying eight key predictors including BMI and glucose levels.
  • Among the algorithms tested, SVM had the highest accuracy, achieving 93.2% and an area under the curve of 0.98.
  • The research included 292 children with obesity monitored for at least one year to develop the risk model.
  • Identifying children at risk early can enable personalized interventions to prevent type 2 diabetes.

Cite This Study

Yang et al. (2025) studied this question.

synapsesocial.com/papers/68af2b63cf1dd9ea359e49adhttps://doi.org/10.3389/fendo.2025.1649988
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