CBNU at TREC 2017 Precision Medicine Track

    Research output: Conference(x)Paperpeer-review

    Abstract

    This paper describes the participation of the CBNU team at the TREC Precision Medicine Track 2017. We have constructed cancer-centered document clusters using cancer-gene relation and clinical causal information. A query has been expanded with disease terms and pseudo-relevance feedback is applied for cancer disease document clusters.

    Original languageEnglish
    StatePublished - 2017
    Event26th Text REtrieval Conference, TREC 2017 - Gaithersburg, United States
    Duration: 2017.11.152017.11.17

    Conference

    Conference26th Text REtrieval Conference, TREC 2017
    Country/TerritoryUnited States
    CityGaithersburg
    Period17.11.1517.11.17

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • cancer document cluster
    • cancer-gene relationship
    • clinical causal knowledge
    • Precision medicine

    Quacquarelli Symonds(QS) Subject Topics

    • Linguistics
    • Computer Science & Information Systems
    • Data Science

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