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Forecasting the onset and course of mental illness with Twitter data
We developed computational models to predict the emergence of depression and Post-Traumatic Stress Disorder in Twitter users. Twitter data and details of depression history were collected from 204 individuals (105 depressed, 99 healthy). We extracted predictive features measuring affect, linguistic...
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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5636873/ https://ncbi.nlm.nih.gov/pubmed/29021528 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-017-12961-9 |
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