Performance of a Machine Learning Algorithm in Predicting Outcomes of Aortic Valve Replacement.

CONCLUSIONS: The ML algorithm XGBoost demonstrated excellent calibration and modest improvements in discriminatory ability compared to existing STS models in this study of isolated SAVR. PMID: 32687831 [PubMed - as supplied by publisher]

https://www.ncbi.nlm.nih.gov/pubmed/32687831?dopt=Abstract

Source: The Annals of Thoracic Surgery - July 16, 2020 Category: Cardiovascular & Thoracic Surgery Authors: Kilic A, Goyal A, Miller JK, Gleason TG, Dubrawksi A Tags: Ann Thorac Surg Source Type: research