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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Bibliographic Details
Main Authors: Raina M Merchant, David A Asch, Patrick Crutchley, Lyle H Ungar, Sharath C Guntuku, Johannes C Eichstaedt, Shawndra Hill, Kevin Padrez, Robert J Smith, H Andrew Schwartz
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0215476