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

ABSTRACT:

Background

Obesity is a prevalent and clinically significant complication among individuals with diabetes mellitus (DM), contributing to increased cardiovascular risk, metabolic burden, and reduced quality of life. Despite its high prevalence, the risk factors for obesity within this population remain incompletely understood. With the growing availability of large-scale health datasets and advancements in machine learning, there is an opportunity to improve risk stratification. This study aimed to identify key predictors of obesity and develop a machine learning-based predictive model for patients with T2DM using data from the National Health and Nutrition Examination Survey (NHANES).

Methods

Data from adults with diabetes were extracted from the NHANES 2007-2018 cycles. Par

SUBMITTER: Wang W 

PROVIDER: S-EPMC12411199 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature