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International Conference on Smart Health

ICSH 2017: Smart Health pp 286–291Cite as

A Knowledge-Based Health Question Answering System

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10347))

Abstract

With the quickly increasing of the Question Answering (QA) corpus, the health QA systems provide a convenient way for patients to provide instant service, and the effectiveness of the answer is a very important and challenging problem to be solved. Therefore, this paper proposes a solution based on medical knowledge base. In the process of generating answers, we utilize the entity set provided by medical knowledge base to calculate the correlation between answers and questions, at the same time we make use of the entities provided by relationships in the knowledge base but not appearing in the answers. Experiment conducted on a real data set in our HealthQA system shows that our method can effectively improve the relevance and accuracy of answer matching by using the medical knowledge base.

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Acknowledgments

This work was supported by NSFC(91646202), the National High-tech R&D Program of China (SS2015AA020102), Research/Project 2017YB142 supported by Ministry of Education of The People’s Republic of China, the 1000-Talent program.

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Authors and Affiliations

  1. Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Research Institute of Information Technology, Institute of Internet Industry, Tsinghua University, Beijing, China

    Hongxia Liu, Qingcheng Hu, Yong Zhang, Chunxiao Xing & Ming Sheng

Authors
  1. Hongxia Liu
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  2. Qingcheng Hu
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  3. Yong Zhang
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  4. Chunxiao Xing
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  5. Ming Sheng
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Corresponding author

Correspondence to Hongxia Liu .

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Editors and Affiliations

  1. University of Arizona, Tucson, Arizona, USA

    Hsinchun Chen

  2. University of Arizona, Tucson, Arizona, USA

    Daniel Dajun Zeng

  3. Department of Management Information System, University of Georgia, Athens, Georgia, USA

    Elena Karahanna

  4. University of Texas, Richardson, Texas, USA

    Indranil Bardhan

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Liu, H., Hu, Q., Zhang, Y., Xing, C., Sheng, M. (2017). A Knowledge-Based Health Question Answering System. In: Chen, H., Zeng, D., Karahanna, E., Bardhan, I. (eds) Smart Health. ICSH 2017. Lecture Notes in Computer Science(), vol 10347. Springer, Cham. https://doi.org/10.1007/978-3-319-67964-8_29

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  • DOI: https://doi.org/10.1007/978-3-319-67964-8_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67963-1

  • Online ISBN: 978-3-319-67964-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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