Hourly Prediction of Organ Failure and Outcome in Intensive Care based on Data Mining Techniques.
Marta Vilas-BoasManuel Filipe SantosFilipe PortelaÁlvaro M. SilvaFernando RuaPublished in: ICEIS (2) (2010)
Keyphrases
- intensive care
- data mining techniques
- prognostic models
- data mining
- health care
- prediction accuracy
- decision support system
- patient data
- historical data
- decision support
- knowledge discovery
- prediction model
- real world
- predictive modeling
- data mining methods
- intrusion detection system
- logistic regression
- association rules
- risk factors
- intrusion detection
- survival analysis
- information retrieval
- intensive care unit