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http://dx.doi.org/10.5762/KAIS.2018.19.11.730

A Classification of Medical and Advertising Blogs Using Machine Learning  

Lee, Gi-Sung (Division of Computer & Game, Howon University)
Lee, Jong-Chan (Department of Computer Information Engineering, Kunsan National University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.19, no.11, 2018 , pp. 730-737 More about this Journal
Abstract
With the increasing number of health consumers aiming for a happy quality of life, the O2O medical marketing market is activated by choosing reliable health care facilities and receiving high quality medical services based on the medical information distributed on web's blog. Because unstructured text data used on the Internet, mobile, and social networks directly or indirectly reflects authors' interests, preferences, and expectations in addition to their expertise, it is difficult to guarantee credibility of medical information. In this study, we propose a blog reading system that provides users with a higher quality medical information service by classifying medical information blogs (medical blog, ad blog) using bigdata and MLP processing. We collect and analyze many domestic medical information blogs on the Internet based on the proposed big data and machine learning technology, and develop a personalized health information recommendation system for each disease. It is expected that the user will be able to maintain his / her health condition by continuously checking his / her health problems and taking the most appropriate measures.
Keywords
Medical blog; Big data; Machine learning; Blog reading system; Medical information blogs;
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Times Cited By KSCI : 2  (Citation Analysis)
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