Abstract OBJECTIVES The study’s aim was to investigate the outcomes and risk factors for mortality in patients undergoing surgery for acute type A aortic dissection receiving concomitant venoarterial extracorporeal membrane..
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Abstract Background The clinical applicability of machine learning predictions of patient outcomes following cardiac surgery remains unclear. We applied machine learning to predict patient outcomes associated with high morbidity and..
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Machine Learning to Predict Outcomes and Cost by Phase of Care After Coronary Artery Bypass Grafting
Abstract Background Machine learning may enhance prediction of outcomes after (CABG). We sought to develop and validate a dynamic machine learning model to predict CABG outcomes at clinically relevant pre- and..
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