Hierarchical Ensemble of Multi-level Classifiers for Diagnosis of Alzheimer's Disease.
Manhua LiuDaoqiang ZhangPew-Thian YapDinggang ShenPublished in: MLMI (2012)
Keyphrases
- early diagnosis
- ensemble learning
- ensemble classifier
- disease diagnosis
- multiple classifiers
- classifier ensemble
- ensemble pruning
- training data
- majority voting
- training set
- clinically relevant
- combining classifiers
- computer aided diagnosis
- diagnostic process
- hierarchical models
- feature selection
- cardiovascular disease
- multiple classifier systems
- diagnostic tool
- medical doctors
- individual classifiers
- randomized trees
- final classification
- computer aided
- weak classifiers
- ensemble methods
- decision tree classifiers
- base classifiers
- early detection
- decision trees
- medical diagnosis
- accurate classifiers
- one class support vector machines
- concept drifting data streams
- class label noise
- trained classifiers
- linear classifiers
- diversity measures
- classifier training
- support vector
- machine learning algorithms
- weighted voting
- optic nerve
- classifier combination
- weak learners
- rule induction algorithm
- fault diagnosis
- classification algorithm
- imbalanced data
- ensemble members
- neural network
- random forest
- machine learning methods
- training samples
- support vector machine
- learning algorithm
- svm classifier
- class labels