Abstract
In order to enhance the quality of care, healthcare organisations are increasingly resorting to clinical decision support systems (CDSSs), which provide physicians with appropriate health care decisions or recommendations. However, how to explicitly represent the diverse vague medical knowledge and effectively reason in the decision-making process are still problems we are confronted. In this paper, we incorporate semiotics into fuzzy logic to enhance CDSSs with the aim of providing both the abilities of describing medical domain concepts contextually and reasoning with vague knowledge. A semiotically inspired fuzzy CDSSs framework is presented, based on which the vague knowledge representation and reasoning process are demonstrated.
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Chen, X., Gao, H., Liu, K., Zhang, Y. (2014). Incorporating Semiotics into Fuzzy Logic to Enhance Clinical Decision Support Systems. In: Liu, K., Gulliver, S.R., Li, W., Yu, C. (eds) Service Science and Knowledge Innovation. ICISO 2014. IFIP Advances in Information and Communication Technology, vol 426. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55355-4_10
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DOI: https://doi.org/10.1007/978-3-642-55355-4_10
Publisher Name: Springer, Berlin, Heidelberg
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