Characterizing Tweet Volume and Content About Common Health Conditions Across Pennsylvania: Retrospective Analysis.

Christopher Tufts Daniel Polsky Kevin G Volpp Peter W Groeneveld Lyle H Ungar Raina M Merchant Arthur P Pelullo

Published in: JMIR public health and surveillance (2018)

Twitter provides a window into the Web-based visibility of diseases and how the volume of Web-based content about diseases varies by condition. Further, the potential value in tweets is in the rich content they provide about individuals' perspectives about diseases (eg, personal experiences, awareness, and risk factors) that are not otherwise easily captured through traditional surveys or administrative data.

Keyphrases

risk factors
mental health
healthcare
public health
social media
human health
electronic health record
risk assessment
cross sectional
machine learning
health information
big data
climate change
artificial intelligence