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A Scalable Framework to Detect Personal Health Mentions on Twitter.

Zhijun YinDaniel FabbriS Trent RosenbloomBradley A Malin
Published in: Journal of medical Internet research (2015)
It is possible to automatically detect personal health status mentions on Twitter in a scalable manner. These mentions correspond to the health issues of the Twitter users themselves, but also other individuals. Though this study did not investigate the veracity of such statements, we anticipate such information may be useful in supplementing traditional health-related sources for research purposes.
Keyphrases
  • social media
  • health information
  • public health
  • healthcare
  • mental health
  • health promotion
  • drinking water
  • human health
  • climate change