Abstract
Medical records contain a wide variety of data types, including a sizable percentage in linguistic format including physician’s notes, interpretations of medical images, impressions of pathological findings, and summaries of electrocardiogram and electroencephalogram recordings. Because of the complex nature of the medical record, development of practical computer-assisted medical decision making aids has met with numerous difficulties. In this article, a number of approaches for dealing with linguistic variables are presented and illustrated in a system for decision making in cardiology.
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Cohen, M.E., Hudson, D.L. (1999). Using Linguistic Models in Medical Decision Making. In: Zadeh, L.A., Kacprzyk, J. (eds) Computing with Words in Information/Intelligent Systems 2. Studies in Fuzziness and Soft Computing, vol 34. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1872-7_21
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DOI: https://doi.org/10.1007/978-3-7908-1872-7_21
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