A machine learning model for predicting obesity risk in patients with diabetes mellitus: analysis of NHANES 2007–2018

Obesity remains highly prevalent among individuals with type 2 diabetes. Our findings highlight key clinical features associated with obesity risk and provide a practical tool to aid in early identification and individualized management of high-risk patients.

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Publication Details

Journal
Frontiers in Public Health
Published
2025-08-22
DOI
https://doi.org/10.3389/fpubh.2025.1606751
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

A machine learning model for predicting obesity risk in patients with diabetes mellitus: analysis of NHANES 2007–2018

Ruiqing Mo, Xingyu Chen, Sijie Yang, Wenqiang Wang
Frontiers in Public Health
Artificial Intelligence in Healthcare
article

A machine learning model for predicting obesity risk in patients with diabetes mellitus: analysis of NHANES 2007–2018

Ruiqing Mo, Xingyu Chen, Sijie Yang, Wenqiang Wang
article en

Abstract

Obesity remains highly prevalent among individuals with type 2 diabetes. Our findings highlight key clinical features associated with obesity risk and provide a practical tool to aid in early identification and individualized management of high-risk patients.

Frontiers in Public HealthVol. 13
Guangxi Medical University (CN), The People's Hospital of Guangxi Zhuang Autonomous Region (CN), First Affiliated Hospital of GuangXi Medical University (CN)
Openalex Percentile: Top 75%
Artificial Intelligence in Healthcare
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