An efficient machine learning based ventricular late potential detection and classification technique for cardiac healthcare.
S. Daphin LildaR. JayaparvathyAkshaya BalajiPublished in: Concurr. Comput. Pract. Exp. (2022)
Keyphrases
- machine learning
- pattern recognition
- machine learning methods
- decision trees
- classification accuracy
- machine learning algorithms
- text classification
- supervised machine learning
- wall motion
- feature selection
- machine learning approaches
- support vector machine
- left ventricle
- supervised learning
- learning algorithm
- myocardial infarction
- object detection
- support vector
- patient specific
- feature vectors
- heart rate variability
- detection algorithm
- feature extraction
- model selection
- classification algorithm
- false positives
- detection method
- unsupervised learning
- image classification
- feature space
- information systems
- class labels
- support vector machine svm
- classification method
- detection rate
- supervised classification
- feature set
- active learning
- image analysis
- training set
- blood pool