Optimal AdaBoost kernel support vector machine for monitoring arrhythmia patients utilizing Internet of Things-cloud environment.
M. HemalathaPublished in: Concurr. Comput. Pract. Exp. (2022)
Keyphrases
- support vector machine
- support vector
- multi class
- kernel function
- kernel methods
- feature selection
- real time
- intensive care
- optimal solution
- monitoring system
- face detection
- object detection
- heart disease
- feature space
- intensive care units
- neurological disorders
- learning algorithm
- training data
- adaboost algorithm
- intensive care unit
- critical care
- decision trees
- svm classifier
- hyperplane
- feature vectors
- decision stumps
- lp norm
- medical devices
- blood glucose
- feature extraction