An optimal strategy for prediction of sudden cardiac death through a pioneering feature-selection approach from HRV signal.
Elias EbrahimzadehAlireza ForoutanMohammad ShamsRaheleh BaradaranLila RajabionMohammadamin JoulaniFarahnaz FayazPublished in: Comput. Methods Programs Biomed. (2019)
Keyphrases
- optimal strategy
- heart rate variability
- feature selection
- heart rate
- decision problems
- prediction accuracy
- spectral analysis
- ecg signals
- monte carlo
- feature selection algorithms
- input features
- expected cost
- patient specific
- prediction model
- support vector
- feature reduction
- prediction error
- text categorization
- support vector machine
- feature set
- mutual information
- signal processing
- extracted features
- text classification
- mathematical models
- classification accuracy
- feature space
- feature extraction
- competitive ratio
- cooperative game
- decision making
- naive bayes
- multi agent systems
- artificial intelligence