Development and Validation of an Insulin Resistance Predicting Model Using a Machine-Learning Approa...
Development and Validation of an Insulin Resistance Predicting Model Using a Machine-Learning Approach in a Population-Based Cohort in Korea
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Switzerland: MDPI AG
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English
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Switzerland: MDPI AG
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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 aged > 40 of the Ansan/Ansung cohort using a machine...
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Development and Validation of an Insulin Resistance Predicting Model Using a Machine-Learning Approach in a Population-Based Cohort in Korea
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TN_cdi_doaj_primary_oai_doaj_org_article_3cd616d27ac3498095f8ff6f6f840f75
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3cd616d27ac3498095f8ff6f6f840f75
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ISSN
2075-4418
E-ISSN
2075-4418
DOI
10.3390/diagnostics12010212
