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Explainable AI + Diabetes Analytics by Amine SAMSAR is a document available to read on EtoBox.

What is Explainable AI + Diabetes Analytics about?

This research develops an explainable analysis of diabetes mellitus (DM) by integrating sociodemographic and clinical data with statistical and artificial intelligence (AI) techniques. The study employs various models, including fuzzy cognitive maps and XGBoost, to classify DM with high accuracy, while emphasizing the importance of explainability for clinical decision-making. The findings highlight the necessity of combining different methodologies for effective early detection and management of DM.

Author

Amine SAMSAR

Language

EN