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