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Asian Journal of Information and Communications 9(2)
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Asian Journal of Information and Communications

Social evaluation of medical and health treatments based on big data analytics Xinshuang Zhao et al.

  • Page:43-57
  • 2018-05-02

With the development of information technology and social media, people are getting used to sharing experiences on social platforms. Social media like Weibo and online forums usually carries a large amount of comments about medical and health treatments, and provides valuable supplementary information for comprehensive understanding of the practical effects as well as the social attitudes of those treatments. In this paper, we aim to explore the above social evaluation method of medical and health treatments based on big data analytics. Due to the characteristics of non-standard expressions, rich variations, and complex contexts of the comments on social media, it’s difficult to conduct a precise content analysis for social evaluation. Therefore, we adopt the sentiment analysis and affective computing technique to deal with the comment texts, and present an effective evaluation method which can better reflect the overall social feelings and attitudes to a certain medical and health treatment. The proposed method and its big data analytics are studied and applied to the cases of treatment evaluations of lung cancer, hepatitis B, and diabetes mellitus in this paper.

Keywords: medical and health, social evaluation, big data analytics, sentiment analysis, affective computing

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