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

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...

Full description

Saved in:
Bibliographic Details
Main Authors: 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: Article
Language:English
Published: Wiley 2025-01-01
Series:Journal of Diabetes Investigation
Subjects:
Machine learning
Prediabetes
Risk stratification
Online Access:https://doi.org/10.1111/jdi.14328
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1111/jdi.14328

Similar Items