Abstract
A generalized scheme for building consultation systems based on techniques of artificial intelligence (A.I.) was used to construct a sequence of thyroid consultation models. This scheme, called EXPERT [30], provided a language in which the decision making elements and rules of the clinical expert were defined, compiled, and tested against a data base of cases. In the present paper we report on the incremental process of refining the original model through repeated cycles of empirical testing, re-definition, and re-testing. This process was facilitated by the development of programs that interfaced the EXPERT system with the independent thyroid data base, and analyzed performance, thus enabling a rapid assessment of the effect of changes in the decision making rules.
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Kulikowski, C.A., Ostroff, J.H. (1980). Constructing an EXPERT Knowledge Base for Thyroid Consultation Using Generalized Artificial Intelligence Techniques. In: Reggia, J.A., Tuhrim, S. (eds) Computer-Assisted Medical Decision Making. Computers and Medicine. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-5108-8_11
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DOI: https://doi.org/10.1007/978-1-4612-5108-8_11
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