Machine learning classification of first-episode schizophrenia spectrum disorders and controls using whole brain white matter fractional anisotropy

BACKGROUND: Early diagnosis of schizophrenia could improve the outcome of the illness. Unlike classical between-group comparisons, machine learning can identify subtle disease patterns on a single subject level, which could help realize the potential of MRI in establishing a psychiatric diagnosis. M...

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Detalles Bibliográficos
Autores principales: Mikolas, Pavol, Hlinka, Jaroslav, Skoch, Antonin, Pitra, Zbynek, Frodl, Thomas, Spaniel, Filip, Hajek, Tomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5891928/
https://www.ncbi.nlm.nih.gov/pubmed/29636016
http://dx.doi.org/10.1186/s12888-018-1678-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5891928/
https://www.ncbi.nlm.nih.gov/pubmed/29636016
http://dx.doi.org/10.1186/s12888-018-1678-y

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