Comparison of machine learning algorithms to predict length of hospital stay in patients undergoing heart bypass surgery.
Martina ProfetaAlfonso Maria PonsiglioneCristina PonsiglioneGiuseppe FerrucciCristiana GiglioAnna BorrellPublished in: BECB (2021)
Keyphrases
- machine learning algorithms
- operating room
- benchmark data sets
- learning algorithm
- machine learning
- decision trees
- machine learning methods
- learning problems
- high risk
- predictive accuracy
- patient records
- machine learning approaches
- beating heart
- emergency department
- machine learning models
- computer assisted
- medical doctors
- intraoperative
- random forests
- patient groups
- learning tasks
- intensive care units
- input features
- cardiac surgery
- standard machine learning algorithms
- coronary artery bypass
- medical devices
- machine learning systems
- heart disease
- patient care
- cardiovascular disease
- statistical machine learning
- vital signs
- minimally invasive
- image guided
- medical data
- learning models
- data sets
- surgical procedures
- intensive care
- hospital information systems
- patient data
- health care
- x ray