Clustering‐based risk stratification of prediabetes populations: Insights from the Taiwan and UK Biobanks

ABSTRACT Aims/Introduction This study aimed to identify low‐ and high‐risk diabetes groups within prediabetes populations using data from the Taiwan Biobank (TWB) and UK Biobank (UKB) through a clustering‐based Unsupervised Learning (UL) approach, to inform targeted type 2 diabetes (T2D) interventio...

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Hauptverfasser:	Djeane Debora Onthoni, Ying‐Erh Chen, Yi‐Hsuan Lai, Guo‐Hung Li, Yong‐Sheng Zhuang, Hong‐Ming Lin, Yu‐Ping Hsiao, Ade Indra Onthoni, Hung‐Yi Chiou, Ren‐Hua Chung
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Wiley 2025-01-01
Schriftenreihe:	Journal of Diabetes Investigation
Schlagworte:	Machine learning Prediabetes Risk stratification
Online-Zugang:	https://doi.org/10.1111/jdi.14328
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