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Designing a Novel Framework for Precision Medicine Information Retrieval

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Smart Health (ICSH 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10983))

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Abstract

Precision medicine information retrieval (PMIR) is about matching the most relevant scientific articles to an individual patient for reliable disease treatment. The corresponding Precision Medicine (PM) Track organized by 2017 Text REtrieval Conference [1] provides a test collection for evaluating the performance of PMIR techniques for finding reliable medical evidence. It significantly facilitates PMIR research and system development. However, the performance of current PMIR systems is still far from satisfactory. This study aims to investigate the application of the latest information retrieval and text mining techniques to PMIR. Based on a review of previous efforts and approaches, we propose three promising techniques: keyphrase extraction for indexing, hybrid query expansion including word embeddings, and retrieval results re-ranking with supervised regression analysis for PMIR. A novel framework for PMIR is therefore designed. A PMIR system based on this framework will be implemented and tested using 2017 and 2018 TREC Precision Medicine Track datasets.

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Author information

Authors and Affiliations

  1. Department of Information Science, University of North Texas, Denton, TX, 76203, USA

    Haihua Chen & Jiangping Chen

  2. Department of Computer Science, University of North Texas, Denton, TX, 76203, USA

    Juncheng Ding

  3. School of Information Management, Central China Normal University, Wuhan, 430079, China

    Gaohui Cao

Authors
  1. Haihua Chen
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  2. Juncheng Ding
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  3. Jiangping Chen
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  4. Gaohui Cao
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Corresponding author

Correspondence to Jiangping Chen .

Editor information

Editors and Affiliations

  1. University of Arizona, Tucson, AZ, USA

    Hsinchun Chen

  2. Wuhan University, Wuhan, China

    Qing Fang

  3. University of Arizona, Tucson, AZ, USA

    Daniel Zeng

  4. Wuhan University, Wuhan, China

    Jiang Wu

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Chen, H., Ding, J., Chen, J., Cao, G. (2018). Designing a Novel Framework for Precision Medicine Information Retrieval. In: Chen, H., Fang, Q., Zeng, D., Wu, J. (eds) Smart Health. ICSH 2018. Lecture Notes in Computer Science(), vol 10983. Springer, Cham. https://doi.org/10.1007/978-3-030-03649-2_16

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  • DOI: https://doi.org/10.1007/978-3-030-03649-2_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03648-5

  • Online ISBN: 978-3-030-03649-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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