Article

A Basic Trustworthy Machine Learning Framework for Early Diabetes Detection

2025-06-13

Abstract excerpt

This research presents a comprehensive trustworthy machine learning framework for early diabetes detection, addressing critical gaps in reliability, interpretability, and fairness in clinical AI systems. The study integrates causal inference, modern ensemble methods (LightGBM, XGBoost-DART, HistGBM), and TabNet for tabular deep learning to enhance predictive performance while ensuring transparency. A novel Causal-...

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Literature Corpus work: 4b0ff3bb-dc01-57b7-88e6-93b13ad9f8a0
DOI: 10.20944/preprints202505.0292.v2

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