Formal concept analysis of medical incident reports

Takahiro Baba, Lucing Liu, Sachio Hirokawa

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    10 Citations (Scopus)

    Abstract

    It is known that a lot of incidents has happened ahead of a serious accident. Such experiences have been collected in medical sites as incident reports. The text mining is expected as a method that discovers the factors of incidents and the improvement of the situation. This paper proposes a method to analyse the co-occurrence relation of the words that appear in the medical incident reports using concept lattice.

    Original languageEnglish
    Title of host publicationKnowledge-Based and Intelligent Information and Engineering Systems - 14th International Conference, KES 2010, Proceedings
    Pages207-214
    Number of pages8
    EditionPART 3
    DOIs
    Publication statusPublished - 2010
    Event14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2010 - Cardiff, United Kingdom
    Duration: Sep 8 2010Sep 10 2010

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    NumberPART 3
    Volume6278 LNAI
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2010
    CountryUnited Kingdom
    CityCardiff
    Period9/8/109/10/10

    All Science Journal Classification (ASJC) codes

    • Theoretical Computer Science
    • Computer Science(all)

    Fingerprint Dive into the research topics of 'Formal concept analysis of medical incident reports'. Together they form a unique fingerprint.

    Cite this