Machine Learning Methods for Mortality Prediction of Polytraumatized Patients in Intensive Care Units - Dealing with Imbalanced and High-Dimensional Data.
María N. Moreno GarcíaJavier González RobledoFélix Martín GonzálezFernando Sánchez HernándezMercedes Sánchez BarbaPublished in: IDEAL (2014)
Keyphrases
- high dimensional data
- intensive care units
- intensive care
- prognostic models
- intensive care unit
- dimensionality reduction
- nearest neighbor
- high dimensional
- health care
- low dimensional
- decision support system
- monitoring system
- decision support
- data points
- high dimensionality
- patient data
- data analysis
- data sets
- subspace clustering
- input space
- clustering high dimensional data
- input data
- high risk
- variable selection
- classification trees
- data mining
- medical diagnosis
- clinical data
- regression problems
- medical knowledge
- support vector machine
- expert systems
- feature selection
- real world