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 - Nov 23 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

    Baba, T., Liu, L., & Hirokawa, S. (2010). Formal concept analysis of medical incident reports. In Knowledge-Based and Intelligent Information and Engineering Systems - 14th International Conference, KES 2010, Proceedings (PART 3 ed., pp. 207-214). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6278 LNAI, No. PART 3). https://doi.org/10.1007/978-3-642-15393-8_24