A New Ensemble Approach for Congestive Heart Failure and Arrhythmia Classification Using Shifted One-Dimensional Local Binary Patterns with Long Short-Term Memory.
Abidin ÇaliskanPublished in: Comput. J. (2022)
Keyphrases
- heart failure
- heart disease
- local binary pattern
- health care
- feature extraction
- normal subjects
- texture classification
- classification accuracy
- machine learning
- feature vectors
- pattern recognition
- texture analysis
- support vector machine
- texture features
- medical diagnosis
- clinical data
- clinical decision support systems
- multiscale
- face recognition
- feature space
- neural network
- pattern classification
- recurrent neural networks
- information systems
- support vector
- computer vision