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

Ikno Kim, Junzo Watada

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

    Abstract

    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.

    Original languageEnglish
    Title of host publicationStudies in Computational Intelligence
    PublisherSpringer Verlag
    Pages459-466
    Number of pages8
    Volume199
    ISBN (Print)9783642009082
    DOIs
    Publication statusPublished - 2009

    Publication series

    NameStudies in Computational Intelligence
    Volume199
    ISSN (Print)1860949X

    ASJC Scopus subject areas

    • Artificial Intelligence

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  • Cite this

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