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

Journal: Frontiers in artificial intelligence
Published Date: Jan 7, 2025

Abstract

INTRODUCTION: Diabetes 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.

Authors

  • Inam Abousaber
    Department of Information Technology, Faculty of Computers and Information Technology, University of Tabuk, Tabuk, Saudi Arabia.
  • Haitham F Abdallah
    Department of Electronics and Electrical Communication, Higher Institute of Engineering and Technology, Kafr El Sheikh, Egypt.
  • Hany El-Ghaish
    Department of Computer and Automatic Control, Faculty of Engineering, Tanta University, Tanta, Egypt.

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