Machine-learning classification using neuroimaging data in schizophrenia, autism, ultra-high risk and first-episode psychosis

Neuropsychiatric disorders are diagnosed based on behavioral criteria, which makes the diagnosis challenging. Objective biomarkers such as neuroimaging are needed, and when coupled with machine learning, can assist the diagnostic decision and increase its reliability. Sixty-four schizophrenia, 36 au...

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Detalles Bibliográficos
Autores principales: Yassin, Walid, Nakatani, Hironori, Zhu, Yinghan, Kojima, Masaki, Owada, Keiho, Kuwabara, Hitoshi, Gonoi, Wataru, Aoki, Yuta, Takao, Hidemasa, Natsubori, Tatsunobu, Iwashiro, Norichika, Kasai, Kiyoto, Kano, Yukiko, Abe, Osamu, Yamasue, Hidenori, Koike, Shinsuke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7429957/
https://www.ncbi.nlm.nih.gov/pubmed/32801298
http://dx.doi.org/10.1038/s41398-020-00965-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7429957/
https://www.ncbi.nlm.nih.gov/pubmed/32801298
http://dx.doi.org/10.1038/s41398-020-00965-5

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