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205. Machine Learning to Further Improve Classification of Psychotic Disorders Using Clinical and Biological Stratification: Updates From the Bipolar Schizophrenia Network for Intermediate Phenotypes (BSNIP)
Background: Classification in psychiatry continues to suffer from challenges to validity of the distinctions between its diagnostic categories. The fundamental goal of this study is to delineate different types of psychosis using a stratified approach involving both biological and clinical informati...
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| Publicado no: | Schizophr Bull |
|---|---|
| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5475741/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/schbul/sbx021.283 |
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