Mining Twitter Data to Improve Detection of Schizophrenia

Individuals who suffer from schizophrenia comprise I percent of the United States population and are four times more likely to die of suicide than the general US population. Identification of at-risk individuals with schizophrenia is challenging when they do not seek treatment. Microblogging platfor...

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Detalles Bibliográficos
Autores principales: McManus, Kimberly, Mallory, Emily K., Goldfeder, Rachel L., Haynes, Winston A., Tatum, Jonathan D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Informatics Association 2015
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4525233/
https://www.ncbi.nlm.nih.gov/pubmed/26306253

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