Characterizing clinical risk profiles of major complications in type 2 diabetes mellitus using deep learning algorithms

ObjectiveTo develop a self-reportable risk assessment tool for elderly type 2 diabetes mellitus (T2DM) patients, evaluating risks of diabetic nephropathy (DN), retinopathy (DR), peripheral neuropathy (DPN), and diabetic foot (DF) using machine learning, thereby providing new insights and tools for t...

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Autors principals:	Haochen Liu, Xiaomiao Li, Ke Shi, Fengyu Lei, Ziyan Wang, Ziyuan Gao, Yunxi Liu, Jing Zhu, Jiajia Zhai, Yi Zhang, Xinyu Li, Shiyu Wang, Yu Niu, Louyan Ma, Tianxiao Zhang
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2025-09-01
Col·lecció:	Frontiers in Endocrinology
Matèries:	Type 2 diabetes mellitus (T2DM) diabetic complications SHAP (Shapley Additive explanation) machine learning risk factors
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fendo.2025.1657366/full
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