Abstract
As the wealth of online information is increasing tremendously, the need for question-answering systems is evident. Current search engines return ranked lists of documents to the users query, but they do not deliver the precise answer to the queries. The goal of a question-answering system is to retrieve answers to questions rather than full documents or best-matching passages, as most information retrieval systems currently do. Patients/Medical students have many queries related to the medical terms, diseases, and its symptoms. They are inquisitive to find these answers using search engines. But due to keyword search used by search engines it becomes quite difficult for them to find the correct answers for the search item. This paper proposes the architecture of question-answering system for medical domain and discusses the rule-based question processing and answers retrieval. Rule formation for retrieval of Answers has also been discussed in the paper.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Demner-Fushman, Dina, Lin, Jimmy: Answering clinical questions with knowledge-based and statistical techniques. Comput. Linguist. 33(1), 63–103 (March 2007)
Hong, Yu., Lee, Minsuk, Kaufman, David, Ely, John, Osheroff, Jerome A., Hripcsak, George, Cimino, James: Development, implementation, and a cognitive evaluation of a definitional question answering system for physicians. J. Biomed. Inform. 40, 236–251 (2007)
Pierre, J., Zweigenbaum, P.: Towards a medical question-answering system: a feasibility study. In: Medical Informatics Europe, Studies in Health Technology and Informatics, vol. 95, pp. 463–468. IOS Press, Amsterdam (2003)
Vargas-Vera, Maria, Motta, Enrico, Domingue, John: AQUA: an ontology-driven question answering system. In: Maybury, M. (ed.) New directions in question answering. AAAI Press, Menlo Park (2003)
Kangavari, M.R., Samira, G., Manak, G.: Information retrieval: improving question answering systems by query reformulation and answer validation. World Acad. Sci. Eng. Technol. 48, 303–310 (2008)
Minsuk, L., James, C., Hai Ran, Z., Carl, S., Vijay, S., John, E., Hong Y.: Beyond information retrieval–medical question answering, AMIA Annu. Symp Proc. 469–473 (2006)
Athenikosa, S.J., Hanb, H.: Biomedical question answering: a survey. Comput. Methods Programs Biomed. 99, 1–24 (2010)
Dodiya, T., Jain, S.: Comparison of question answering systems. Adv. Intell. Syst. Comput. ISBN 978-3-642- 32063-7. vol. 182, 99–107 Sprimger
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer India
About this paper
Cite this paper
Jain, S., Dodiya, T. (2014). Rule Based Architecture for Medical Question Answering System. In: Babu, B., et al. Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012. Advances in Intelligent Systems and Computing, vol 236. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1602-5_128
Download citation
DOI: https://doi.org/10.1007/978-81-322-1602-5_128
Published:
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-1601-8
Online ISBN: 978-81-322-1602-5
eBook Packages: EngineeringEngineering (R0)