Classification of Cardiac Arrhythmia of 12 Lead ECG Using Combination of SMOTEENN, XGBoost and Machine Learning Algorithms.
B. R. ManjuAnju R. NairPublished in: ISED (2019)
Keyphrases
- machine learning algorithms
- benchmark data sets
- ecg signals
- machine learning methods
- decision trees
- machine learning
- predictive accuracy
- heart rate variability
- learning algorithm
- mit bih arrhythmia database
- learning problems
- input features
- machine learning approaches
- machine learning systems
- machine learning models
- multiclass classification
- learning tasks
- standard machine learning algorithms
- beat classification
- supervised learning algorithms
- cardiac arrhythmias
- heart disease
- learning models
- heart rate
- classification accuracy
- support vector
- random forests
- neural network
- classification models
- transfer learning
- natural language processing
- artificial neural networks
- feature extraction
- machine learning and data mining algorithms