Turki M. Alghamdi

A comparative and interpretable machine learning framework for reliable diabetes risk prediction.

It is indicated that a rigorously conducted methodology and interpretability in machine learning development are crucial in creating machine learning solutions in healthcare decision support, which is the pathway to real applications in diabetes risk assessment.