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

Ikno Kim, Junzo Watada

    研究成果: Conference contribution

    抜粋

    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.

    元の言語English
    ホスト出版物のタイトルStudies in Computational Intelligence
    出版者Springer Verlag
    ページ459-466
    ページ数8
    199
    ISBN(印刷物)9783642009082
    DOI
    出版物ステータスPublished - 2009

    出版物シリーズ

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

      フィンガープリント

    ASJC Scopus subject areas

    • Artificial Intelligence

    これを引用

    Kim, I., & Watada, J. (2009). Towards a new medical decision support system with bio-inspired interpretive structural modelling. : Studies in Computational Intelligence (巻 199, pp. 459-466). (Studies in Computational Intelligence; 巻数 199). Springer Verlag. https://doi.org/10.1007/978-3-642-00909-9_44