Development and Validation of an Insulin Resistance Predicting Model Using a Machine-Learning Approach in a Population-Based Cohort in Korea

Background: Insulin resistance is a common etiology of metabolic syndrome, but receiver operating characteristic (ROC) curve analysis shows a weak association in Koreans. Using a machine learning (ML) approach, we aimed to generate the best model for predicting insulin resistance in Korean adults ag...

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Detalles Bibliográficos
Autores principales: Park, Sunmin, Kim, Chaeyeon, Wu, Xuangao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774355/
https://www.ncbi.nlm.nih.gov/pubmed/35054379
http://dx.doi.org/10.3390/diagnostics12010212

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774355/
https://www.ncbi.nlm.nih.gov/pubmed/35054379
http://dx.doi.org/10.3390/diagnostics12010212

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