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Formal Concept Analysis of Medical Incident Reports

  • Conference paper
Knowledge-Based and Intelligent Information and Engineering Systems (KES 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6278))

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.

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Author information

Authors and Affiliations

  1. Graduate School of Information Science and Electrical Engineering,  

    Takahiro Baba & Lucing Liu

  2. Research Institute for Information Technology, Kyushu University, Fukuoka, 812-8581, Japan

    Sachio Hirokawa

Authors
  1. Takahiro Baba
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  2. Lucing Liu
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  3. Sachio Hirokawa
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Editor information

Editors and Affiliations

  1. School of Engineering, Cardiff University, The Parade, CF24 3AA, Cardiff, UK

    Rossitza Setchi

  2. Dept. of Computer Science and Software Engineering, University of Portsmouth, BUckingham Building, Lion Terrace, PO1 3HE, Portsmouth, UK

    Ivan Jordanov

  3. KES International, 145-157 St. John Street, EC1V 4PY, London, UK

    Robert J. Howlett

  4. School of Electrical and Information Engineering, University of South Australia, Adelaide, Mawson Lakes Campus, 5095, SA, Australia

    Lakhmi C. Jain

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© 2010 Springer-Verlag Berlin Heidelberg

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Baba, T., Liu, L., Hirokawa, S. (2010). Formal Concept Analysis of Medical Incident Reports. In: Setchi, R., Jordanov, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2010. Lecture Notes in Computer Science(), vol 6278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15393-8_24

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  • DOI: https://doi.org/10.1007/978-3-642-15393-8_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15392-1

  • Online ISBN: 978-3-642-15393-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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