Towards a new medical decision support system with bio-inspired interpretive structural modelling

Ikno Kim, Junzo Watada

    研究成果: Conference contribution

    抄録

    Interpretive structural modelling (ISM) is a useful method employed in decision making in industrial and systems engineering fields. Moreover, ISM often plays an important role in structuralising particular issues or problems related to medical issues. A small number of elements can be straightforwardly calculated using ISM, but it is difficult to structuralise the problem with a large number of elements using electronic computers in polynomial time. In the real world, medical decision support systems (MDSS) are basically composed of electronic computer-based systems. Therefore, in this paper, we show results on the basis of using a bio-inspired ISM that measures the efficiency of combining a computer-based decision support system towards the creation of a new MDSS, using an example of a rehabilitation centre selection problem.

    本文言語English
    ホスト出版物のタイトルStudies in Computational Intelligence
    出版社Springer Verlag
    ページ459-466
    ページ数8
    199
    ISBN(印刷版)9783642009082
    DOI
    出版ステータスPublished - 2009

    出版物シリーズ

    名前Studies in Computational Intelligence
    199
    ISSN(印刷版)1860949X

    ASJC Scopus subject areas

    • Artificial Intelligence

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