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Issue No. 04 - July-Aug. (2012 vol. 27)
ISSN: 1541-1672
pp: 81-84
Mark Dredze , Johns Hopkins University
Recent work in machine learning and natural language processing has studied the health content of tweets and demonstrated the potential for extracting useful public health information from their aggrega-tion. This article examines the types of health topics discussed on Twitter, and how tweets can both augment existing public health capabilities and enable new ones. The author also discusses key chal-lenges that researchers must address to deliver high-quality tools to the public health community.
Social network services, Media, Twitter, Medical information processing, Sociology, Medical services, Public healthcare, natural language processing, social media, health, twitter, machine learning

M. Dredze, "How Social Media Will Change Public Health," in IEEE Intelligent Systems, vol. 27, no. , pp. 81-84, 2012.
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