The analysis of near-miss cases using data-mining approach

Masaomi Kimura, Kouji Tatsuno, Toshiharu Hayasaka, Yuta Takahashi, Tetsuro Aoto, Michiko Ohkura, Fumito Tsuchiya

研究成果: Conference contribution

3 引用 (Scopus)

抜粋

We applied the data mining technique to medical near-miss cases collected by a foundation related to the Japanese Health, Labor and Welfare Ministry, and extracted information such as pairs of confusing medicines, the cause of near-miss cases in some situations, which cannot be obtained by simple aggregation calculations and descriptive statistics. We also introduce the results of text mining applied to the free-description data regarding the backgrounds and causes of near-miss cases and their counter measures.

元の言語English
ホスト出版物のタイトルHuman-Computer Interaction
ホスト出版物のサブタイトルHCI Intelligent Multimodal Interaction Environments - 12th International Conference, HCI International 2007, Proceedings
ページ474-483
ページ数10
エディションPART 4
出版物ステータスPublished - 2007 12 1
イベント12th International Conference on Human-Computer Interaction, HCI International 2007 - Beijing, China
継続期間: 2007 7 222007 7 27

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 4
4553 LNCS
ISSN(印刷物)0302-9743
ISSN(電子版)1611-3349

Conference

Conference12th International Conference on Human-Computer Interaction, HCI International 2007
China
Beijing
期間07/7/2207/7/27

    フィンガープリント

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

これを引用

Kimura, M., Tatsuno, K., Hayasaka, T., Takahashi, Y., Aoto, T., Ohkura, M., & Tsuchiya, F. (2007). The analysis of near-miss cases using data-mining approach. : Human-Computer Interaction: HCI Intelligent Multimodal Interaction Environments - 12th International Conference, HCI International 2007, Proceedings (PART 4 版, pp. 474-483). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 4553 LNCS, 番号 PART 4).