A comparison of different Machine Learning algorithms for predicting the length of hospital stay for patients undergoing cataract surgery.
Arianna ScalaTeresa Angela TrunfioAndrea LombardiCristiana GiglioAnna BorrelliMaria TriassiPublished in: BECB (2021)
Keyphrases
- machine learning algorithms
- operating room
- benchmark data sets
- machine learning
- learning algorithm
- predictive accuracy
- machine learning methods
- decision trees
- high risk
- random forests
- learning problems
- computer assisted
- medical doctors
- learning tasks
- input features
- intensive care
- machine learning models
- medical devices
- intensive care units
- vital signs
- machine learning approaches
- patient groups
- intraoperative
- patient records
- emergency department
- surgical procedures
- slit lamp
- learning models
- intensive care unit
- home care
- minimally invasive
- patient data
- information gain
- health care
- artificial neural networks
- feature selection