A decision tree based approach with sampling techniques to predict the survival status of poly-trauma patients.
José Antonio SanzJavier FernándezHumberto BustinceCarlos GradinMariano FortúnTomás BelzuneguiPublished in: Int. J. Comput. Intell. Syst. (2017)
Keyphrases
- decision trees
- vital signs
- survival prediction
- kaplan meier
- decision tree algorithm
- random forest
- random sampling
- training data
- information gain
- monte carlo
- survival analysis
- high risk
- medical data
- lung cancer
- logistic regression
- heart rate
- predictive accuracy
- machine learning algorithms
- robot assisted
- health status
- machine learning
- classification trees
- attribute selection
- cardiovascular disease
- continuous monitoring
- training set
- survival data
- sample size