A machine learning approach to high-risk cardiac surgery risk scoring.
Michael P RogersHaroon JanjuaGregory FishbergerAbhinav HarishJoseph SujkaEric M TolozaAnthony J DeSantisRobert L HookerRicardo PietrobonLucian LozonschiPaul C KuoPublished in: Journal of cardiac surgery (2022)
The application of machine learning techniques provides individualized predicted mortality and identifies contributing factors in high-risk cardiac surgery. Employment of this modeling to the Society of Thoracic Surgeons database may provide individualized risk factors contributing to mortality.