Machine Learning-Based predictive model for adolescent metabolic syndrome: Utilizing data from NHANES 2007–2016

Machine Learning-Based predictive model for adolescent metabolic syndrome: Utilizing data from NHANES 2007–2016

Abstract Metabolic syndrome (Mets) in adolescents is a growing public health issue linked to obesity, hypertension, and insulin resistance, increasing risks of cardiovascular disease and mental health problems. Early detection and intervention are crucial but often hindered by complex diagnostic req...

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Main Authors: Yu-zhen Zhang, Hai-ying Wu, Run-wei Ma, Bo Feng, Rui Yang, Xiao-gang Chen, Min-xiao Li, Li-ming Cheng
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Machine learning
Metabolic syndrome
Predictive model
Adolescents
NHANES
Online Access:https://doi.org/10.1038/s41598-025-88156-4
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https://doi.org/10.1038/s41598-025-88156-4

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