Comparative analysis of machine learning approaches for predicting frequent emergency department visits.

Background: Emergency Department (ED) overcrowding is an emerging risk to patient safety. This study aims to assess and compare the predictive ability of machine learning (ML) models for predicting frequent ED users.

Method: Korean Health Panel data from 2008 to 2015 were used for this study.