Graph feature selection for dementia diagnosis.
Yonghua ZhuZhi ZhongWenfei CaoDebo ChengPublished in: Neurocomputing (2016)
Keyphrases
- feature selection
- graph classification
- diagnostic tool
- fault diagnosis
- early diagnosis
- graph theory
- model based diagnosis
- graph matching
- high dimensionality
- machine learning
- directed acyclic graph
- graph structure
- directed graph
- feature set
- random walk
- support vector
- mutual information
- medical diagnosis
- irrelevant features
- multi class
- graph databases
- structured data
- graph representation
- graph model
- weighted graph
- bipartite graph
- feature subset
- text classification
- connected components
- text categorization
- discriminative features
- information gain
- spanning tree
- fault detection
- feature selection algorithms
- feature space
- model selection
- classification accuracy
- expert systems