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Objective The objective of this study was to compare the performance of several commonly used machine learning methods to traditional statistical methods for predicting emergency department and hospital utilization among patients receiving publicly-funded home care services. Study design and setting We conducted a population-based retrospective cohort study of publicly-funded home care recipients in the Hamilton-Niagara-Haldimand-Brant region of southern Ontario, Canada between 2014 and 2016.doi:10.1371/journal.pone.0206662 fatcat:le3rlx7gpfbuxh3xmvu35vgqsm