Towards artificial intelligence in mental health by improving schizophrenia prediction with multiple brain parcellation ensemble-learning

In the literature, there are substantial machine learning attempts to classify schizophrenia based on alterations in resting-state (RS) brain patterns using functional magnetic resonance imaging (fMRI). Most earlier studies modelled patients undergoing treatment, entailing confounding with drug effe...

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Detalles Bibliográficos
Autores principales: Kalmady, Sunil Vasu, Greiner, Russell, Agrawal, Rimjhim, Shivakumar, Venkataram, Narayanaswamy, Janardhanan C., Brown, Matthew R. G., Greenshaw, Andrew J, Dursun, Serdar M, Venkatasubramanian, Ganesan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386753/
https://www.ncbi.nlm.nih.gov/pubmed/30659193
http://dx.doi.org/10.1038/s41537-018-0070-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386753/
https://www.ncbi.nlm.nih.gov/pubmed/30659193
http://dx.doi.org/10.1038/s41537-018-0070-8

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