Machine Learning to Predict Outcomes and Cost by Phase of Care After Coronary Artery Bypass Grafting

• Published in: The Annals of thoracic surgery Vol. 114; no. 3; pp. 711 - 719
• Main Authors: Zea-Vera, Rodrigo, Ryan, Christopher T., Havelka, Jim, Corr, Stuart J., Nguyen, Tom C., Chatterjee, Subhasis, Wall, Matthew J., Coselli, Joseph S., Rosengart, Todd K., Ghanta, Ravi K.
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier Inc 01.09.2022

Machine learning may enhance prediction of outcomes after coronary artery bypass grafting (CABG). We sought to develop and validate a dynamic machine learning model to predict CABG outcomes at clinically relevant pre- and postoperative time points. The Society of Thoracic Surgeons (STS) registry dat...