Bagging Ensembles for the Diagnosis and Prognostication of Alzheimer's Disease.
Peng DaiFemida Gwadry-SridharMichael BauerMichael BorriePublished in: AAAI (2016)
Keyphrases
- early diagnosis
- ensemble methods
- ensemble learning
- ensemble selection
- disease diagnosis
- imbalanced data
- neural network ensembles
- base classifiers
- computer aided diagnosis
- random forests
- ensemble members
- decision trees
- computer aided
- diagnostic tool
- diagnostic process
- clinically relevant
- classifier ensemble
- tree ensembles
- random forest
- optic nerve
- ensemble classifier
- medical doctors
- decision tree ensembles
- machine learning methods
- rotation forest
- cardiovascular disease
- healthy subjects
- base learners
- early detection
- prediction accuracy
- benchmark datasets
- generalization ability
- model based diagnosis
- majority voting
- learning machines
- medical diagnosis
- variable selection
- learning algorithm
- decision stumps
- greedy search
- weighted voting
- parameter settings
- fault diagnosis
- prostate cancer
- multi class
- liver disease
- medical images
- feature selection