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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Detalhes bibliográficos
Publicado no:PLoS One
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2019
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6576767/
https://ncbi.nlm.nih.gov/pubmed/31206534
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0215476
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