Personalized Search over Medical Forums

  • Arohi Kumar
  • Amit Kumar Meher
  • Sudeshna Sarkar
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8891)

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…

Keywords

Medical Forum Semantic Search Natural Language Processing Personalized retrieval 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
  2. 2.
    Wicks, P., Keininger, D.L., et al.: Perceived benefits of sharing health data between people with epilepsy on an online platform. In: Epilepsy & Behavior (2014)Google Scholar
  3. 3.
  4. 4.
  5. 5.
    Luo, G., Tang, C., Yang, H., et al.: MedSearch: a specialized search engine for medical information retrieval. In: CIKM (2008)Google Scholar
  6. 6.
    Luo, G., Tang, C.: Challenging issues in iterative intelligent medical search. In: ICPR (2008)Google Scholar
  7. 7.
    Luo, G., Tang, C.: On iterative intelligent medical search. In: SIGIR, pp. 3–10 (2008)Google Scholar
  8. 8.
    Can, B., Baykal, N.: MedicoPort: A medical search engine for all. J. Computer Methods and Programs in Biomedicine (86), 73–86 (2007)Google Scholar
  9. 9.
    Lindberg, D.A., Humphreys, B.L., McCray, A.T.: Unified Medical Language System. J. Am Med. Inform. Assoc. 5(1), 111 (1998)Google Scholar
  10. 10.
  11. 11.
    Apache Lucene, http://lucene.apache.org
  12. 12.
    Aronson, A.R.: Effective Mapping of Biomedical Text to the UMLS Metathesaurus: The MetaMap Program. In: Annual AMIA Symposium, pp. 17–21 (2001)Google Scholar
  13. 13.
    Savova, G.K., Masanz, J.J., Orgen, P.V., et al.: Mayo clinical Text Analysis and Knowledge Extraction System(cTAKES): architecture, component evaluation and applications. J Am Med. Inform. Assoc. 17(5), 507–513 (2010)CrossRefGoogle Scholar
  14. 14.
  15. 15.
    Pennebaker, J.W., Graybeal, A.: Patterns of natural language use: disclosure, personality, and social integration. Current Directions in Psychological Science 10(3), 90–93 (2001)CrossRefGoogle Scholar
  16. 16.
    Pennebaker, J.W., Stone, L.D.: Words of wisdom: Language use over the lifespan. J. Personality and Social Psychology 85(2) (2003)Google Scholar
  17. 17.
    Holmes, J., Meyerhoff, M.: The Handbook of Language and Gender. Blackwell, Oxford, UK (2004)Google Scholar
  18. 18.
    Kelih, E., Antic, G., Grzybek, P., Stadlober, E.: Classification of author and/or genre? The impact of word length, pp. 498–505. Springer, Heidelberg (2005)Google Scholar
  19. 19.
    Burger, J.D., Henderson, J.C.: An exploration of observable features related to blogger age. In: AAAI Spring Symposia on Computational Approaches to Analyzing Weblogs, California, USA (2006)Google Scholar
  20. 20.
    Holmes, J., Meyerhoff, M.: The Handbook of Language and Gender. Blackwell, Oxford (2004)Google Scholar
  21. 21.
    Argamon, S., Koppel, M., Fine, J., Shimoni, A.: Automatically Categorizing Written Texts by Author Gender. Literary and Linguistic Computing, pp. 401–412 (2002)Google Scholar
  22. 22.
    Argamon, S., Koppel, M., Pennebaker, W., Schler, J.: Mining the Blogosphere: Age, gender and the varieties of self expression (2007)Google Scholar
  23. 23.
    Yan, X., Yan, L.: Gender classification of weblog authors. In: AAAI Spring Symposia on Computational Approaches to Analyzing Weblogs (2006)Google Scholar
  24. 24.
    Nowson, S., Oberlander, J.: Identifying more bloggers. Towards large scale personality classication of personal weblogs. In: 1st International Conference on Weblogs and Social Media, International AAAI Conference on Weblogs and Social Media (2007)Google Scholar
  25. 25.
    Schler, J., Koppel, M., Argamon, S., Pennebaker, J.: Effects of age and gender on blogging. In: AAAI Spring Symposia on Computational Approaches to Analyzing Weblogs (2006)Google Scholar
  26. 26.
    Goswami, S., Sarkar, S., Rustagi, M.: Stylometric analysis of bloggers’ age and gender. In: Third International ICWSM Conference. International AAAI Conference on Weblogs and Social Media (2009)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Arohi Kumar
    • 1
  • Amit Kumar Meher
    • 1
  • Sudeshna Sarkar
    • 1
  1. 1.Department of Computer Science and EngineeringIndian Institute of Technology KharagpurKharagpurIndia

Personalised recommendations