Machine Learning Approaches: From Theory to Application in Schizophrenia
Published 2013 View Full Article
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Title
Machine Learning Approaches: From Theory to Application in Schizophrenia
Authors
Keywords
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Journal
Computational and Mathematical Methods in Medicine
Volume 2013, Issue -, Pages 1-12
Publisher
Hindawi Limited
Online
2013-11-21
DOI
10.1155/2013/867924
References
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Related references
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- (2011) Bayanne Olabi et al. BIOLOGICAL PSYCHIATRY
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- A Hybrid Machine Learning Method for Fusing fMRI and Genetic Data: Combining both Improves Classification of Schizophrenia
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- Magnetic Resonance Imaging Predictors of Treatment Response in First-Episode Schizophrenia
- (2010) P. R. Szeszko et al. SCHIZOPHRENIA BULLETIN
- Use of Neuroanatomical Pattern Classification to Identify Subjects in At-Risk Mental States of Psychosis and Predict Disease Transition
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- Laplace–Beltrami eigenvalues and topological features of eigenfunctions for statistical shape analysis
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