Detection and classification of COVID-19 disease using SWHO-based deep neural network classifier.
Vanshika RastogiAjit Kumar JainPublished in: Comput. methods Biomech. Biomed. Eng. Imaging Vis. (2023)
Keyphrases
- learning vector quantization
- neural network
- classification process
- classification method
- classification scheme
- feature extraction and classification
- support vector machine
- decision trees
- pattern recognition
- support vector machine classifier
- classification algorithm
- nearest neighbor classifier
- support vector
- false negative
- false positives
- class labels
- training samples
- classification rate
- multi layer perceptron
- classifier combination
- training set
- training process
- spam detection
- classification accuracy
- feature space
- svm classifier
- neyman pearson
- probabilistic neural network
- nearest neighbour
- probabilistic classifiers
- k nearest neighbour
- fuzzy classifier
- binary decision tree
- pattern classification
- classification models
- feature selection
- individual classifiers
- self organizing maps
- discriminative classifiers
- bayesian classifier
- object detection
- feature extraction
- feature set
- final classification
- fuzzy artmap
- incremental learning
- higher classification accuracy
- training data
- discriminative learning
- artificial neural networks
- multiple classifiers
- knn
- svm classification
- multiclass classification
- learning phase
- optimum path forest
- naive bayes
- detection algorithm
- back propagation
- detection rate
- neural network model
- roc curve
- outbreak detection
- extracted features
- backpropagation neural network
- ensemble classifier
- binary classifiers
- radial basis function
- feature vectors
- machine learning