Identifying Biases in a Multicenter MRI Database for Parkinson's Disease Classification: Is the Disease Classifier a Secret Site Classifier?
Raissa SouzaAnthony J. WinderEmma A. M. StanleyVibujithan VigneshwaranMilton CamachoRichard CamicioliOury MonchiMatthias WilmsNils D. ForkertPublished in: IEEE J. Biomed. Health Informatics (2024)
Keyphrases
- classification process
- classification algorithm
- classification scheme
- classification method
- database
- nearest neighbor classifier
- support vector machine
- training samples
- training set
- k nearest neighbour
- feature selection
- decision trees
- svm classifier
- class labels
- support vector
- classification rate
- feature space
- feature set
- higher classification accuracy
- multiclass classification
- multiple classifiers
- learning vector quantization
- high classification accuracy
- classification accuracy
- training data
- bayesian classifier
- final classification
- classifier combination
- feature extraction and classification
- decision boundary
- probabilistic classifiers
- classification schemes
- classification models
- multi category
- binary classifiers
- knn
- extracted features
- learning algorithm
- individual classifiers
- medical images
- support vector machine svm
- fold cross validation
- disease diagnosis
- ensemble classifier
- naive bayes classifier
- svm classification
- fuzzy support vector machine
- sufficient training data
- nearest neighbour
- decision tree classifiers
- binary decision tree
- multiple sclerosis
- probabilistic boosting tree
- accurate classification
- classifier ensemble
- learning phase
- text classifiers
- weak classifiers
- magnetic resonance imaging
- mr images
- text classification
- image classification
- active learning
- feature vectors
- feature extraction
- machine learning