Development and validation of machine learning models to predict prediabetes using dietary intake data in young adults in Korea: a cross-sectional study

Abstract

Purpose This study aimed to develop and compare machine learning models for predicting prediabetes in young adults in Korea using dietary intake data and to identify the most effective model.

The paper