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Accuracy of diagnostic classification algorithms using cognitive-, electrophysiological-, and neuroanatomical data in antipsychotic-naïve schizophrenia patients
BACKGROUND: A wealth of clinical studies have identified objective biomarkers, which separate schizophrenia patients from healthy controls on a group level, but current diagnostic systems solely include clinical symptoms. In this study, we investigate if machine learning algorithms on multimodal dat...
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| Publicat a: | Psychol Med |
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| Autors principals: | , , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Cambridge University Press
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6877469/ https://ncbi.nlm.nih.gov/pubmed/30560750 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1017/S0033291718003781 |
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