R. V.

A Reliability-Aware and Interpretable Machine Learning Framework for Diabetes Prediction Using Structured Clinical Data

A reliability-aware and interpretable machine learning framework for diabetes prediction from structured clinical data is developed and a Feature Consistency Index (FCI) is formalised that quantifies the cross-model agreement of SHAP-derived feature importance and combines it with normalised importance into a single ra...