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Personalized Search over Medical Forums

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Mining Intelligence and Knowledge Exploration

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8891))

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Abstract

The Internet is used extensively to obtain health and medical information. Many forums, blogs, news articles, specialized websites, research journals and other sources contain such information. However, though current general purpose and special purpose search engines cater to medical information retrieval, there are many gaps in this domain because the information retrieved is not tailored to the specific needs of the user. We argue that personalized requirement of the user needs to take into account the medical history and the demographics of the user in addition to the medical content that the user desires. For example, one user may desire factual information whereas another may desire a vicarious account of another person with respect to the same medical condition. Medical forums contain medical information on several medical topics and are rich in the demographics and the type of information that is available due to the large number of people participating throughout the world. However, present search engines on medical forums do not incorporate the type of information that the user is looking for and their demographics. In this paper we propose a novel approach for facilitating search on medical forums that provides medical information specially tailored to the user’s needs. Our experiments show that such an approach considerably outperforms the search presently available on medical forums…

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Kumar, A., Meher, A.K., Sarkar, S. (2014). Personalized Search over Medical Forums. In: Prasath, R., O’Reilly, P., Kathirvalavakumar, T. (eds) Mining Intelligence and Knowledge Exploration. Lecture Notes in Computer Science(), vol 8891. Springer, Cham. https://doi.org/10.1007/978-3-319-13817-6_2

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  • DOI: https://doi.org/10.1007/978-3-319-13817-6_2

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13816-9

  • Online ISBN: 978-3-319-13817-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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