Support Vector Machine-Based Schizophrenia Classification Using Morphological Information from Amygdaloid and Hippocampal Subregions

Structural changes in the hippocampus and amygdala have been demonstrated in schizophrenia patients. However, whether morphological information from these subcortical regions could be used by machine learning algorithms for schizophrenia classification were unknown. The aim of this study was to use...

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Detalles Bibliográficos
Autores principales: Guo, Yingying, Qiu, Jianfeng, Lu, Weizhao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7465509/
https://www.ncbi.nlm.nih.gov/pubmed/32824267
http://dx.doi.org/10.3390/brainsci10080562

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7465509/
https://www.ncbi.nlm.nih.gov/pubmed/32824267
http://dx.doi.org/10.3390/brainsci10080562

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