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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...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Dove
2023
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| Materias: | |
| 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 |