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...
| Publicado en: | Psychological Medicine Vol. 49; no. 16; pp. 2754 - 2764 |
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| Autores principales: | , , , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Cambridge University Press
Dec2019
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| Acceso en línea: | Ver este registro en EBSCOhost |