Classification of Parkinsonian Syndromes from FDG-PET Brain Data Using Decision Trees with SSMPCA Features
Joint Authors
Mudali, D.
Teune, L. K.
Renken, R. J.
Leenders, K. L.
Roerdink, J. B. T. M.
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-31
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Medical imaging techniques like fluorodeoxyglucose positron emission tomography (FDG-PET) have been used to aid in the differential diagnosis of neurodegenerative brain diseases.
In this study, the objective is to classify FDG-PET brain scans of subjects with Parkinsonian syndromes (Parkinson’s disease, multiple system atrophy, and progressive supranuclear palsy) compared to healthy controls.
The scaled subprofile model/principal component analysis (SSM/PCA) method was applied to FDG-PET brain image data to obtain covariance patterns and corresponding subject scores.
The latter were used as features for supervised classification by the C4.5 decision tree method.
Leave-one-out cross validation was applied to determine classifier performance.
We carried out a comparison with other types of classifiers.
The big advantage of decision tree classification is that the results are easy to understand by humans.
A visual representation of decision trees strongly supports the interpretation process, which is very important in the context of medical diagnosis.
Further improvements are suggested based on enlarging the number of the training data, enhancing the decision tree method by bagging, and adding additional features based on (f)MRI data.
American Psychological Association (APA)
Mudali, D.& Teune, L. K.& Renken, R. J.& Leenders, K. L.& Roerdink, J. B. T. M.. 2015. Classification of Parkinsonian Syndromes from FDG-PET Brain Data Using Decision Trees with SSMPCA Features. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057805
Modern Language Association (MLA)
Mudali, D.…[et al.]. Classification of Parkinsonian Syndromes from FDG-PET Brain Data Using Decision Trees with SSMPCA Features. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1057805
American Medical Association (AMA)
Mudali, D.& Teune, L. K.& Renken, R. J.& Leenders, K. L.& Roerdink, J. B. T. M.. Classification of Parkinsonian Syndromes from FDG-PET Brain Data Using Decision Trees with SSMPCA Features. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057805
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057805