Does Race Play a Role in Invasive Procedure Treatments? An Initial Analysis

摘要

This study applies machine learning to a popular inpatient data set to identify whether black patients are treated differently than other patients in the invasive heart treatment decision. We use reverse machine learning to predict patient race using treatment and comorbidities in a matched patient sample. Our finding is suggestive that treatment choice only moderately depends on patient race.