Development and internal validation of a machine learning algorithm for the risk of type 2 diabetes mellitus in children with obesity

Development and internal validation of a machine learning algorithm for the risk of type 2 diabetes mellitus in children with obesity

AimWe aimed to develop and internally validate a machine learning (ML)-based model for the prediction of the risk of type 2 diabetes mellitus (T2DM) in children with obesity.MethodsIn total, 292 children with obesity and T2DM were enrolled between July 2023 and February 2024 and followed for at leas...

Full description

Saved in:
Bibliographic Details
Main Authors: Jin-Xia Yang, Yue Liu, Rong Huang, Hai-ying Wu, Ya-yun Wang, Su-ying Cao, Guo-ying Wang, Jian-Min Zhang, Zi-Sheng Ai, Hui-min Zhou
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Endocrinology
Subjects:
obesity
children
risk prediction model
machine learning
type 2 diabetes mellitus
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2025.1649988/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.frontiersin.org/articles/10.3389/fendo.2025.1649988/full

Similar Items