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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Detalles Bibliográficos
Autores principales: Ebdrup, Bjørn H., Axelsen, Martin C., Bak, Nikolaj, Fagerlund, Birgitte, Oranje, Bob, Raghava, Jayachandra M., Nielsen, Mette Ø., Rostrup, Egill, Hansen, Lars K., Glenthøj, Birte Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2019
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6877469/
https://www.ncbi.nlm.nih.gov/pubmed/30560750
http://dx.doi.org/10.1017/S0033291718003781

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6877469/
https://www.ncbi.nlm.nih.gov/pubmed/30560750
http://dx.doi.org/10.1017/S0033291718003781

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