Robust predictive framework for diabetes classification using optimized machine learning on imbalanced datasets

IntroductionDiabetes prediction using clinical datasets is crucial for medical data analysis. However, class imbalances, where non-diabetic cases dominate, can significantly affect machine learning model performance, leading to biased predictions and reduced generalization.MethodsA novel predictive...

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Bibliographic Details

Published in:	Frontiers in Artificial Intelligence
Main Authors:	Inam Abousaber, Haitham F. Abdallah, Hany El-Ghaish
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-01-01
Subjects:	diabetes detection imbalance handling methods imbalanced datasets machine learning statistical analysis
Online Access:	https://www.frontiersin.org/articles/10.3389/frai.2024.1499530/full