A machine learning–based clinical decision support algorithm for reducing unnecessary coronary angiograms

Abstract

This prediction model, when coupled with a point-of-care, online decision support tool to be used by referring physicians, could improve the diagnostic yield of invasive coronary angiography in stable, elective outpatients, thus improving patient safety and reducing healthcare costs.