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
    Event2009 9th IEEE International Conference on Advanced Learning Technologies, ICALT 2009 - Riga
    Duration: 2009 Jul 152009 Jul 17

    Other

    Other2009 9th IEEE International Conference on Advanced Learning Technologies, ICALT 2009
    CityRiga
    Period09/7/1509/7/17

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    ASJC Scopus subject areas

    • Computer Science Applications
    • Hardware and Architecture
    • Software

    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] https://doi.org/10.1109/ICALT.2009.67