Formal concept analysis of medical incident reports

Takahiro Baba, Lucing Liu, Sachio Hirokawa

    研究成果: 書籍/レポート タイプへの寄稿会議への寄与

    10 被引用数 (Scopus)

    抄録

    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.

    本文言語英語
    ホスト出版物のタイトルKnowledge-Based and Intelligent Information and Engineering Systems - 14th International Conference, KES 2010, Proceedings
    ページ207-214
    ページ数8
    PART 3
    DOI
    出版ステータス出版済み - 2010
    イベント14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2010 - Cardiff, 英国
    継続期間: 9月 8 20109月 10 2010

    出版物シリーズ

    名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    番号PART 3
    6278 LNAI
    ISSN(印刷版)0302-9743
    ISSN(電子版)1611-3349

    その他

    その他14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2010
    国/地域英国
    CityCardiff
    Period9/8/109/10/10

    !!!All Science Journal Classification (ASJC) codes

    • 理論的コンピュータサイエンス
    • コンピュータ サイエンス(全般)

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