Comparison of Machine Learning Models Including Preoperative, Intraoperative, and Postoperative Data and Mortality After Cardiac Surgery
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DOI: 10.1001/jamanetworkopen.2022.37970
Abstract: This prognostic study compares machine learning models that use preoperative, intraoperative, and postoperative data to predict mortality after cardiac surgery. read more here.
Keywords: machine learning; preoperative intraoperative; learning models; postoperative data ... See more keywords
A Dashboard for Tracking Mortality After Cardiac Surgery Using a National Administrative Database
Sign Up to like & getrecommendations! Published in 2021 at "Cardiology Research"
DOI: 10.14740/cr1220
Abstract: Background Mortality after cardiac surgery is publicly reportable and used as a quality metric by national organizations. However, detailed institutional comparisons are often limited in publicly reported ratings, while publicly reported mortality data are generally… read more here.
Keywords: cardiac surgery; surgery; mortality cardiac; national administrative ... See more keywords
Predicting mortality with cardiac troponins: recent insights from meta-analyses
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DOI: 10.1515/dx-2019-0061
Abstract: Abstract The introduction of cardiac troponin (cTn) testing in clinical practice has been one of the most important breakthroughs that have occurred in the recent history of laboratory medicine. Although it is now uncontestable that… read more here.
Keywords: meta analyses; mortality cardiac; predicting mortality; mortality ... See more keywords