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Identification and individualized prediction of clinical phenotypes in bipolar disorders using neurocognitive data, neuroimaging scans and machine learning

Diagnosis, clinical management and research of psychiatric disorders remains subjective - largely guided by historically developed categories which may not effectively capture underlying pathophysiological mechanisms of dysfunction. Here, we report a novel approach of identifying and validating dist...

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Detalhes bibliográficos
Publicado no:Neuroimage
Main Authors: Wu, Mon-Ju, Mwangi, Benson, Bauer, Isabelle E., Passos, Ives C., Sanches, Marsal, Zunta-Soares, Giovana B., Meyer, Thomas D., Hasan, Khader M., Soares, Jair C.
Formato: Artigo
Idioma:Inglês
Publicado em: 2016
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4983269/
https://ncbi.nlm.nih.gov/pubmed/26883067
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2016.02.016
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