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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...
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| Pubblicato in: | Transl Psychiatry |
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| Autori principali: | , , , , , , , , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Publishing Group UK
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7429957/ https://ncbi.nlm.nih.gov/pubmed/32801298 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41398-020-00965-5 |
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