Idehen Emmanuel Imafidon

Predictive modeling of early diabetes diagnosis: An evaluation of XGBoost, support vector machine, and random forest classifiers

It is recommended that healthcare systems adopt XGBoost-based predictive models in clinical decision support tools for early screening, while future studies should validate these models using real-world clinical data to enhance reliability and generalizability.