Research Paper Highlights 📘

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This presentation explores a hybrid deep learning framework for accurately predicting type 2 diabetes mellitus (T2DM) using multimodal data. It covers the urgency of such predictions, innovative data integration and preprocessing techniques, and the achieved high accuracy coupled with AUC-ROC performance. An in-depth analysis of features, SHAP insights, and biomarker significance is provided, demonstrating the vital role of ECG data. Additionally, practical clinical applications, early...