Article
Exploring the diagnostic performance of machine learning in prediction of metabolic phenotypes focusing on thyroid function.
PloS one - 1 Jan 2024
Ahn Hyeong Jun, Ishikawa Kyle, Kim Min-Hee
Abstract excerpt
In this study, we employed various machine learning models to predict metabolic phenotypes, focusing on thyroid function, using a dataset from the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2012. Our analysis utilized laboratory parameters relevant to thyroid function or metabolic dysregulation in addition to demographic features, aiming to uncover potential associations between...
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