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

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Inam Abousaber, Haitham F. Abdallah, Hany El-Ghaish
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Artificial Intelligence
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
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items