Humans657 thai adultsCross-sectional study

Classification of pre-metabolic syndrome and metabolic syndrome using machine learning and routine clinical variables in Thai adults

Fig 1. ROC curves of the top-performing machine-learning models for classification of pre-MetS and MetS.
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Fig 1. ROC curves of the top-performing machine-learning models for classification of pre-MetS and MetS.ROC curves of the top-performing machine-learning models for classification of pre-MetS and MetS.Yaikwawong et al. · CC BY

PLOS One

Abstract

Background Metabolic syndrome (MetS) and pre-metabolic syndrome (pre-MetS) are increasingly recognized as important stages of metabolic dysfunction in Asian populations. Conventional diagnostic approaches rely on fixed threshold criteria, whereas metabolic dysfunction occurs along a continuous spectrum.

The paper

Mahidol University · Srinakharinwirot University

PLOS One · 28 Sep 2026 · CC BY

doi.org/10.1371/journal.pone.0359283PubMed 42804467

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