Predicting Cognitive Recovery of Stroke Patients from the Structural MRI Connectome Using a Naïve Bayesian Tree Classifier.
Rosalía Dacosta-AguayoChristian Stephan-OttoTibor AuerInmaculada ClementeAntoni DavalosNúria BargallóMaria MataróManousos A. KladosPublished in: CBMS (2017)
Keyphrases
- bayes classifiers
- bayes classifier
- bayesian classifiers
- ischemic stroke
- myocardial infarction
- magnetic resonance imaging
- multiple sclerosis
- medical images
- decision trees
- medical data
- bayesian networks
- information processing
- tree augmented
- mri data
- magnetic resonance images
- post operative
- healthy volunteers
- clinical studies
- bayesian methods
- feature selection
- patient data
- cognitive science
- mr images
- white matter
- health care
- logistic regression
- bayes classification
- white matter fiber tracts
- naive bayes classifier
- bayesian network classifiers
- chinese characters
- clinical data
- medical imaging
- high resolution