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Mining of Medical Trends Using Social Networks

Mining of Medical Trends Using Social Networks

Shruti Kohli, Sonia Saini
Copyright: © 2016 |Pages: 19
ISBN13: 9781466688117|ISBN10: 1466688114|EISBN13: 9781466688124
DOI: 10.4018/978-1-4666-8811-7.ch008
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MLA

Kohli, Shruti, and Sonia Saini. "Mining of Medical Trends Using Social Networks." Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes, edited by Wahiba Ben Abdessalem Karâa and Nilanjan Dey, IGI Global, 2016, pp. 164-182. https://doi.org/10.4018/978-1-4666-8811-7.ch008

APA

Kohli, S. & Saini, S. (2016). Mining of Medical Trends Using Social Networks. In W. Karâa & N. Dey (Eds.), Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes (pp. 164-182). IGI Global. https://doi.org/10.4018/978-1-4666-8811-7.ch008

Chicago

Kohli, Shruti, and Sonia Saini. "Mining of Medical Trends Using Social Networks." In Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes, edited by Wahiba Ben Abdessalem Karâa and Nilanjan Dey, 164-182. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-4666-8811-7.ch008

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Abstract

Recent work in machine learning and natural language processing has studied the content of health related information in tweets and demonstrated the potential for extracting useful public health information from their aggregation. Social intelligence derived from health content has become of significant importance for various applications, including post-marketing drug surveillance, competitive intelligence, medicine reviews and to assess health-related opinions and sentiments. Further, the quantity of medical information in the media such as tweets on Twitter, Facebook or medical blogs is growing at an exponential rate. Medical data such as health records, drug data, etc. has become major candidates for Big Data analysis and thus exploring this content has become a necessity for organizations. However, the volume, velocity, variety, and quality of online health information present challenges, necessitating enhanced facilitation mechanisms for medical social computing. The objective of this chapter is to discuss the possibility of mining medical trends using Social Networks.

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