Predicting Length of Stay for Cardiovascular Hospitalizations in the Intensive Care Unit: Machine Learning Approach.
Belal AlsinglawiFady AlnajjarOmar MubinMauricio NovoaMohammed AlorjaniOla KarajehOmar M. DarwishPublished in: EMBC (2020)
Keyphrases
- intensive care unit
- machine learning
- blood pressure
- cardiac surgery
- heart rate
- intensive care
- decision support system
- high risk
- intensive care units
- machine learning algorithms
- medical data
- learning algorithm
- machine learning methods
- information extraction
- knowledge acquisition
- artificial intelligence
- decision support
- risk factors
- inductive learning
- medical images
- data analysis
- decision trees
- feature selection
- data mining
- clinical trials
- inductive logic programming
- computer aided
- statistical models
- x ray
- domain specific
- training data
- knowledge base