Cluster analysis of care assessment data and supporting for care planning

Kaoru Eto, Tatsunori Matsui, Minoru Mukuda, Yasuo Kabasawa

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

Abstract

Sharing know-how information for appropriately grasping care needs is an important factor to improve the quality of care service. Our know-how information sharing method highlights the differences between beginners and more skillful persons and brings them to the attention of the former. When a skillful person is given assessment data, first she roughly observes them based on a certain pattern that reflects her experience and then gradually notices the details. In this paper, we promote awareness by showing beginners this process. We classified assessment data using cluster analysis. With our results, which were verified by skillful persons, we verified that they basically agreed with the skillful person's classification pattern. Therefore, a skillful person's data observation process can be presented to beginners.

Original languageEnglish
Title of host publicationProceedings - 2009 9th IEEE International Conference on Advanced Learning Technologies, ICALT 2009
Pages213-214
Number of pages2
DOIs
Publication statusPublished - 2009 Nov 18
Event2009 9th IEEE International Conference on Advanced Learning Technologies, ICALT 2009 - Riga, Latvia
Duration: 2009 Jul 152009 Jul 17

Publication series

NameProceedings - 2009 9th IEEE International Conference on Advanced Learning Technologies, ICALT 2009

Conference

Conference2009 9th IEEE International Conference on Advanced Learning Technologies, ICALT 2009
CountryLatvia
CityRiga
Period09/7/1509/7/17

ASJC Scopus subject areas

  • Computer Science Applications
  • Hardware and Architecture
  • Software

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  • Cite this

    Eto, K., Matsui, T., Mukuda, M., & Kabasawa, Y. (2009). Cluster analysis of care assessment data and supporting for care planning. In Proceedings - 2009 9th IEEE International Conference on Advanced Learning Technologies, ICALT 2009 (pp. 213-214). [5194205] (Proceedings - 2009 9th IEEE International Conference on Advanced Learning Technologies, ICALT 2009). https://doi.org/10.1109/ICALT.2009.67