Using machine learning to predict perfusionists' critical decision-making during cardiac surgery.
Roger D. DiasMarco A. ZenatiGeoffrey RanceSrey RithyDavid ArneyL. ChenRohan R. PalejaLauren R. Kennedy-MetzMatthew C. GombolayPublished in: Comput. methods Biomech. Biomed. Eng. Imaging Vis. (2022)
Keyphrases
- machine learning
- decision making
- cardiac surgery
- decision makers
- data mining
- machine learning methods
- minimally invasive
- decision support system
- knowledge acquisition
- decision support
- inductive learning
- decision trees
- intensive care
- learning algorithm
- data management
- clinical decision support systems
- post operative
- data analysis
- computer vision
- scientific data
- intensive care unit