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A Recommendation Method of Health Articles Based on Association Rules for Health Terms Appeared on Web Documents and Their Application Systems

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Advanced Information Networking and Applications (AINA 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 451))

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Abstract

This paper presents a recommendation method of health articles based on association rules for health terms appeared on Web documents. On the Web search for health information, we sometimes find it difficult to decide which Web articles are relevant to our symptoms and reliable information. The proposed method classifies health articles and make scores on each article based on association rules, and then, recommends health articles with high support values according to user’s symptoms. In the experiment, we evaluate the feasibility of our proposed method.

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References

  1. Christine, M., Chun, W.C.: A review of theoretical models of health information seeking on the web. J. Document. 68(3), 330–352 (2012)

    Article  Google Scholar 

  2. Eguchi, Y.: Health literacy as a new keyword in health education. J. Japan Diet. Assoc. 61(10), 31–39 (2018)

    Google Scholar 

  3. Scott, T., Gazmararian, J.A., Williams, M.V., Baker, D.W.: Health literacy and preventive health care use among medicare enrollees in a managed care organization. Med. Care 40(5), 395–404 (2000)

    Article  Google Scholar 

  4. Baker, D.W., et al.: Functional health literacy and the risk of hospital admission among medicare managed care enrollees. Am. J. Public Health 92(8), 1278–1283 (2000)

    Article  Google Scholar 

  5. Kazuhiro, N.: Health Literacy: Ability for Deciding Health. http://www.healthliteracy.jp/. Accessed 2020

  6. Ueda, H., Yanagisawa, Y., Tsukamoto, M., Nishio, S.: Applying knowledge discovery techniques to trend analysis of electronic mail. J. Inf. Proc. Soc. Japan 41(12), 3285–3294 (2000)

    Google Scholar 

  7. Harvard Medical School, Medical Dictionary of Health Terms. https://www.health.harvard.edu/medical-dictionary-of-health-terms/a-through-c/. Accessed 2020

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Correspondence to Kosuke Takano .

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Thong, T.V., Takano, K., Li, K.F. (2022). A Recommendation Method of Health Articles Based on Association Rules for Health Terms Appeared on Web Documents and Their Application Systems. In: Barolli, L., Hussain, F., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2022. Lecture Notes in Networks and Systems, vol 451. Springer, Cham. https://doi.org/10.1007/978-3-030-99619-2_21

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