Optimized feature selection for enhanced accuracy in knee osteoarthritis detection and severity classification with machine learning.
Anandh Sam Chandra BoseC. SrinivasanS. Immaculate JoyPublished in: Biomed. Signal Process. Control. (2024)
Keyphrases
- feature selection
- machine learning
- classification accuracy
- text classification
- support vector machine
- classification performances
- fold cross validation
- detection accuracy
- machine learning methods
- model selection
- pattern recognition
- support vector machine classifier
- classification models
- support vector
- higher classification accuracy
- information gain
- mutual information
- classification rate
- detection rate
- high dimensionality
- text categorization
- feature selection algorithms
- decision trees
- feature space
- feature reduction
- feature extraction
- supervised machine learning
- supervised classification
- feature construction
- face detection
- irrelevant features
- method for feature selection
- image classification
- small samples
- feature ranking
- selected features
- machine learning approaches
- data mining
- roc analysis
- feature and instance selection
- data reduction
- discriminatory power
- learning tasks
- supervised learning
- dimensionality reduction
- machine learning algorithms
- detection algorithm
- naive bayes
- multi class
- feature set
- unsupervised learning
- support vector machine svm
- feature generation
- recursive feature elimination
- training data
- accuracy rate
- feature subset
- computer assisted
- microarray data
- learning algorithm
- feature vectors
- active learning
- discriminative classifiers
- data preparation
- false positives
- svm classifier
- classification algorithm