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

Ikno Kim; Junzo Watada

doi:10.1007/978-3-642-00909-9_44

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

Ikno Kim^*, Junzo Watada

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Studies in Computational Intelligence
Publisher	Springer Verlag
Pages	459-466
Number of pages	8
Volume	199
ISBN (Print)	9783642009082
DOIs	https://doi.org/10.1007/978-3-642-00909-9_44
Publication status	Published - 2009

Publication series

Name	Studies in Computational Intelligence
Volume	199
ISSN (Print)	1860949X

ASJC Scopus subject areas

Artificial Intelligence

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10.1007/978-3-642-00909-9_44

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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.",

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AB - 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.

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

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