Personalizing Patient Risk of a Life Altering Event: An Application of Machine Learning to Hemiarch Surgery
To assess a machine learning model ’s ability to predict the occurrence of life altering events (LAE) in hemiarch surgery and determine contributing patient characteristics and intraoperative factors.
Source: The Journal of Thoracic and Cardiovascular Surgery - Category: Cardiovascular & Thoracic Surgery Authors: Adam M. Carroll, Nicolas Chanes, Ananya Shah, Lance Dzubinski, Muhammad Aftab, T. Brett Reece Source Type: research
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