Evaluating the predictability of medical conditions from social media posts

We studied whether medical conditions across 21 broad categories were predictable from social media content across approximately 20 million words written by 999 consenting patients. Facebook language significantly improved upon the prediction accuracy of demographic variables for 18 of the 21 diseas...

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Detalles Bibliográficos
Autores principales: Merchant, Raina M., Asch, David A., Crutchley, Patrick, Ungar, Lyle H., Guntuku, Sharath C., Eichstaedt, Johannes C., Hill, Shawndra, Padrez, Kevin, Smith, Robert J., Schwartz, H. Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6576767/
https://www.ncbi.nlm.nih.gov/pubmed/31206534
http://dx.doi.org/10.1371/journal.pone.0215476

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6576767/
https://www.ncbi.nlm.nih.gov/pubmed/31206534
http://dx.doi.org/10.1371/journal.pone.0215476

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