Abstract
This paper describes topics pertaining to the session, "Social Media Mining for Public Health Monitoring and Surveillance," at the Pacific Symposium on Biocomputing (PSB) 2016. In addition to summarizing the content of the session, this paper also surveys recent research on using social media data to study public health. The survey is organized into sections describing recent progress in public health problems, computational methods, and social implications.
Original language | English |
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Title of host publication | Biocomputing 2016 |
Subtitle of host publication | Proceedings of the Pacific Symposium |
Editors | Russ B. Altman, A. Keith Dunker, Lawrence Hunter, Marylyn D. Ritchie, Tiffany Murray, Teri E. Klein |
Place of Publication | Singapore |
Publisher | World Scientific Publishing |
Pages | 468-479 |
Number of pages | 12 |
ISBN (Electronic) | 9789814749428 |
ISBN (Print) | 9789814749404 |
DOIs | |
Publication status | Published - 2016 |
Externally published | Yes |
Event | 21st Pacific Symposium on Biocomputing, PSB 2016 - Kohala Coast, United States Duration: 4 Jan 2016 → 8 Jan 2016 |
Conference
Conference | 21st Pacific Symposium on Biocomputing, PSB 2016 |
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Country/Territory | United States |
City | Kohala Coast |
Period | 4/01/16 → 8/01/16 |
Bibliographical note
Copyright the Publisher 2016. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.Keywords
- Social media
- data mining
- natural language processing
- public health