Interpretable Machine Learning-Based Predictive Modeling of Patient Outcomes Following Cardiac Surgery

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 mortality after cardiac surgery and identified the importance of variables to the derived model ’s performance.

Source: The Journal of Thoracic and Cardiovascular Surgery - November 29, 2023 Category: Cardiovascular & Thoracic Surgery Authors: Adeel Abbasi, Cindy Li, Max Dekle, Christian A. Bermudez, Daniel Brodie, Frank W. Selke, Neel R. Sodha, Corey E. Ventetuolo, Carsten Eickhoff Source Type: research