A New Hybrid Predictive Model to Predict the Early Mortality Risk in Intensive Care Units on a Highly Imbalanced Dataset.
Ramin GhorbaniRouzbeh GhousiAhmad MakuiAlireza AtashiPublished in: IEEE Access (2020)
Keyphrases
- predictive model
- intensive care units
- intensive care
- imbalanced datasets
- intensive care unit
- high risk
- decision trees
- risk factors
- historical data
- artificial neural networks
- prediction model
- monitoring system
- health care
- decision support system
- class distribution
- patient data
- neural network
- classification rules
- decision support
- probabilistic model
- risk management
- risk assessment
- decision making
- class imbalance
- medical data
- base classifiers
- classification models
- regression trees
- logistic regression
- classification trees
- naive bayes
- blood pressure
- genetic programming
- bayesian networks