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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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| Pubblicato in: | AMIA Jt Summits Transl Sci Proc |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
American Medical Informatics Association
2015
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4525233/ https://ncbi.nlm.nih.gov/pubmed/26306253 |
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