Identifying Metabolic Syndrome Easily and Cost Effectively Using Non-Invasive Methods with Machine Learning Models

PURPOSE: The objective of this study was to employ machine learning (ML) models utilizing non-invasive factors to achieve early and low-cost identification of MetS in a large physical examination population. PATIENTS AND METHODS: The study enrolled 9171 participants who underwent physical examinatio...

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Detalles Bibliográficos
Autores principales: Xu, Wei, Zhang, Zikai, Hu, Kerong, Fang, Ping, Li, Ran, Kong, Dehong, Xuan, Miao, Yue, Yang, She, Dunmin, Xue, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10361460/
https://www.ncbi.nlm.nih.gov/pubmed/37484515
http://dx.doi.org/10.2147/DMSO.S413829

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10361460/
https://www.ncbi.nlm.nih.gov/pubmed/37484515
http://dx.doi.org/10.2147/DMSO.S413829

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