Differential Dementia Diagnosis on Incomplete Data with Latent Trees.

Christian Ledig Sebastian Kaltwang Antti Tolonen Juha Koikkalainen Philip Scheltens Frederik Barkhof Hanneke Rhodius-Meester Betty M. Tijms Afina W. Lemstra Wiesje M. van der Flier Jyrki Lötjönen Daniel Rueckert

Published 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