An application of machine learning with feature selection to improve diagnosis and classification of neurodegenerative disorders.
Josefa Díaz ÁlvarezJordi A. Matias-GuiuMaría Nieves Cabrera-MartínJosé L. Risco-MartínJosé L. AyalaPublished in: BMC Bioinform. (2019)
Keyphrases
- feature selection
- classification accuracy
- text classification
- feature space
- support vector
- support vector machine
- classification models
- high dimensionality
- breast cancer diagnosis
- feature set
- feature selection algorithms
- mutual information
- method for feature selection
- accurate classification
- machine learning
- classification performances
- text categorization
- small sample
- feature extraction
- class labels
- irrelevant features
- unsupervised learning
- model selection
- pattern recognition
- feature reduction
- feature selection and classification
- feature subset
- support vector classification
- medical diagnosis
- discriminative features
- feature ranking
- training data
- data sets
- select relevant features
- cancer diagnosis
- classification algorithm
- naive bayes
- support vector machine svm
- dimensionality reduction
- multi class
- feature vectors
- decision trees