Predictive Utility of a Machine Learning Algorithm in Estimating Mortality Risk in Cardiac Surgery.

CONCLUSIONS: Machine learning algorithms such as XGBoost have promise in predictive analytics in cardiac surgery. The modest improvements in model performance demonstrated in the current study warrant further validation in larger cohorts of patients. PMID: 31706872 [PubMed - as supplied by publisher]

https://www.ncbi.nlm.nih.gov/pubmed/31706872?dopt=Abstract

Source: The Annals of Thoracic Surgery - November 6, 2019 Category: Cardiovascular & Thoracic Surgery Authors: Kilic A, Goyal A, Miller JK, Gjekmarkaj E, Tam WL, Gleason TG, Sultan I, Dubrawksi A Tags: Ann Thorac Surg Source Type: research