Recognition of Schizophrenia with Regularized Support Vector Machine and Sequential Region of Interest Selection using Structural Magnetic Resonance Imaging

Structural brain abnormalities in schizophrenia have been well characterized with the application of univariate methods to magnetic resonance imaging (MRI) data. However, these traditional techniques lack sensitivity and predictive value at the individual level. Machine-learning approaches have emer...

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Detalles Bibliográficos
Autores principales: Chin, Rowena, You, Alex Xiaobin, Meng, Fanwen, Zhou, Juan, Sim, Kang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6138658/
https://www.ncbi.nlm.nih.gov/pubmed/30218016
http://dx.doi.org/10.1038/s41598-018-32290-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6138658/
https://www.ncbi.nlm.nih.gov/pubmed/30218016
http://dx.doi.org/10.1038/s41598-018-32290-9

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