Machine learning can accurately predict pre-admission baseline hemoglobin and creatinine in intensive care patients.
Antonin DauvinCarolina DonadoPatrik BachtigerKe-Chun HuangChristopher Martin SauerDaniele RamazzottiMatteo BonviniLeo Anthony CeliMolly J. DouglasPublished in: npj Digit. Medicine (2019)
Keyphrases
- intensive care
- machine learning
- intensive care units
- patient data
- health care
- physiological data
- decision support system
- intensive care unit
- decision support
- prognostic models
- decision trees
- machine learning algorithms
- classification trees
- cardiac surgery
- artificial intelligence
- machine learning methods
- feature selection
- inductive learning
- learning algorithm
- knowledge representation
- model selection
- data mining
- support vector machine
- supervised learning
- management system
- clinical data
- three dimensional
- knowledge acquisition
- data warehouse