Machine Learning-Based Severity Classification of Spinal Cord Injury Patients Using Straight Leg Raising Test.
Ryoto YoshikuraShintaro IzumiTatsuya SugimotoHiroshi KawaguchiPublished in: IEEE SENSORS (2022)
Keyphrases
- machine learning
- spinal cord injury
- pattern recognition
- decision trees
- machine learning methods
- supervised machine learning
- support vector machine
- machine learning approaches
- machine learning algorithms
- motor imagery
- text classification
- pattern classification
- supervised learning
- support vector machine svm
- lung disease
- supervised classification
- feature selection
- model selection
- data mining
- feature extraction
- support vector
- classification accuracy
- unsupervised learning
- normal controls
- feature vectors
- information extraction
- image classification
- extracted features
- brain computer interface
- active learning
- fold cross validation
- classification algorithm
- clinical diagnosis
- test cases
- signal processing
- face recognition