Classification of congestive heart failure with different New York Heart Association functional classes based on heart rate variability indices and machine learning.
Zhaohui QuQianwen LiuChengyu LiuPublished in: Expert Syst. J. Knowl. Eng. (2019)
Keyphrases
- heart failure
- machine learning
- heart disease
- heart rate variability
- health care
- pattern recognition
- normal subjects
- machine learning methods
- machine learning algorithms
- classification accuracy
- support vector machine
- pattern classification
- support vector
- feature selection
- heart rate
- left ventricle
- information extraction
- image classification
- feature extraction
- classification method
- clinical data
- spectral analysis
- clinical decision support systems
- feature vectors
- training set
- svm classifier
- support vector machine svm
- image analysis
- brain imaging