Value of machine learning algorithms for predicting diabetes risk: A subset analysis from a real-world retrospective cohort study.

In the real-world epidemiological research, the combination of traditional variable screening and ML algorithm to construct a diabetes risk prediction model has satisfactory clinical application value.