Abstract
Neural networks are used as associative memories to build an expert system for diagnostic. Similarly to expert systems implemented using symbolic manipulation, here the knowledge is introduced by a knowledge engineer using a collection of known cases. Fuzzy sets are used as interpretation for connection values and/or excitation state of units. The main result is that the proposed neural network allows not only to find a solution in some cases, but also to suggest to obtain more clinical data if the data available is insufficient to conclude. To illustrate the approach the case of two diseases with similar symptoms (difficult diagnostic) are presented.
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© 1991 Springer-Verlag Berlin Heidelberg
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Barreto, J.M., de Azevedo, F., Zanchin, C.I., Epprecht, L.R. (1991). Associative Memories in Medical Diagnostic. In: Adlassnig, KP., Grabner, G., Bengtsson, S., Hansen, R. (eds) Medical Informatics Europe 1991. Lecture Notes in Medical Informatics, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93503-9_62
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DOI: https://doi.org/10.1007/978-3-642-93503-9_62
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