Adapting EHR Foundational Models to Predict Diabetes Complications with Precision Explainability

Diabetes mellitus is a chronic condition that frequently leads to severe complications that are difficult to detect in their early stages using conventional clinical monitoring. This paper presents a data-driven framework for predicting multiple diabetes-related complications using structured electr...

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Bibliografske podrobnosti

Principais autores:	Timothy Joseph, Ahmed Dhaouadi, Jayroop Ramesh, Assim Sagahyroon, Fadi Aloul
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2026-04-01
Serija:	Machine Learning and Knowledge Extraction
Teme:	diabetes complications electronic health records explainable artificial intelligence foundation models multi-label classification
Online dostop:	https://www.mdpi.com/2504-4990/8/4/89
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