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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
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 |
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