Predicting Diabetic Distress and Emotional Burden in Type-2 Diabetes Using Explainable AI

Diabetic distress is a significant psychological burden affecting many individuals with Type-2 Diabetes Mellitus. Despite its prevalence, it remains underrecognized, and its impact can be complex. This study explores the integration of multimodal data sources and machine learning to identify diabeti...

Full description

Bibliographic Details

Published in:	IEEE Access
Main Authors:	Ali Al Bataineh, Bandi Vamsi, Abdullah Al-Refai
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Clinical decision support diabetic distress (DDS) explainable AI (XAI) machine learning (ML) multimodal data analysis SHapley additive exPlanations (SHAP)
Online Access:	https://ieeexplore.ieee.org/document/11045898/