A combined strategy of feature selection and machine learning to identify predictors of prediabetes.
Objective: To identify predictors of prediabetes using feature selection and machine learning on a nationally representative sample of the US population. Materials and methods: We analyzed n = 6346 men and women enrolled in the National Health and Nutrition Examination Survey 2013-2014. Prediabetes was defined using American Diabetes Association guidelines. The sample was randomly partitioned to Objective: To identify predictors of prediabetes using feature selection and machine learning on a nationally representative sample of the US population. Materials and methods: We analyzed n = 6346 men and women enrolled in the National Health and Nutrition Examination Survey 2013-2014. Prediabetes was defined using American Diabetes Association guidelines. The sample was randomly partitioned to t