External validation and application of a machine learning–based model for diabetes progression in prediabetes

IntroductionThis study externally validated a machine learning–based model for type 2 diabetes progression (ML-PR) and evaluated its clinical utility in individuals with prediabetes.MethodsWe included 3,081 participants from the Diabetes Prevention Program (DPP) and the DPP Outcome Study (DPPOS). Th...

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主要な著者:	Song Wang, Qi Huang, Yuxuan Luo, Yingying Luo, Honghan Wu, Zhouhui Lian, Linong Ji, Xiantong Zou
フォーマット:	Artigo
言語:	Inglês
出版事項:	Frontiers Media S.A. 2026-03-01
シリーズ:	Frontiers in Endocrinology
主題:	intervention machine learning prediabetes prediction models risk stratification
オンライン･アクセス:	https://www.frontiersin.org/articles/10.3389/fendo.2026.1746570/full
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