Implementation of a Deep Learning Algorithm Based on Vertical Ground Reaction Force Time-Frequency Features for the Detection and Severity Classification of Parkinson's Disease.
Febryan SetiawanChe-Wei LinPublished in: Sensors (2021)
Keyphrases
- learning algorithm
- classification accuracy
- feature vectors
- feature extraction
- feature set
- classification method
- features extraction
- classification models
- feature space
- false positives
- supervised learning algorithms
- classification algorithm
- machine learning
- feature extraction and classification
- support vector machine classifier
- feature values
- extracted features
- mammogram images
- supervised learning
- training data
- generalization ability
- decision trees
- svm classifier
- classification process
- learning models
- benchmark datasets
- machine learning algorithms
- reinforcement learning
- pattern recognition
- image features
- training samples
- text classification
- image classification
- svm classification
- feature analysis
- adaboost classifier
- class labels
- textural features
- training set
- support vector machine svm
- detection algorithm
- wavelet transform
- high dimensionality
- support vector machine
- training examples
- feature selection algorithms
- disease diagnosis
- feature selection