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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Detalles Bibliográficos
Autores principales: Reece, Andrew G., Reagan, Andrew J., Lix, Katharina L. M., Dodds, Peter Sheridan, Danforth, Christopher M., Langer, Ellen J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5636873/
https://www.ncbi.nlm.nih.gov/pubmed/29021528
http://dx.doi.org/10.1038/s41598-017-12961-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5636873/
https://www.ncbi.nlm.nih.gov/pubmed/29021528
http://dx.doi.org/10.1038/s41598-017-12961-9

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