Differential Dementia Diagnosis on Incomplete Data with Latent Trees.
Christian LedigSebastian KaltwangAntti TolonenJuha KoikkalainenPhilip ScheltensFrederik BarkhofHanneke Rhodius-MeesterBetty M. TijmsAfina W. LemstraWiesje M. van der FlierJyrki LötjönenDaniel RueckertPublished in: MICCAI (2) (2016)
Keyphrases
- incomplete data
- learning bayesian networks
- diagnostic tool
- early diagnosis
- missing values
- missing data
- missing attribute values
- bayesian networks
- em algorithm
- decision trees
- fault diagnosis
- incomplete data sets
- latent variables
- typical testors
- model based diagnosis
- training data
- database
- bayes classifier
- pattern recognition
- irrelevant attributes
- neural network
- mixture model
- expectation maximization
- dimensionality reduction
- active learning
- computer vision
- variational bayesian
- machine learning