Abstract
A model of diagnostic reasoning based on the hypothetico-deductive reasoning strategies used by doctors is presented. The model includes strategies for confirming a likely diagnostic hypothesis, eliminating alternative hypotheses, and discriminating between competing hypotheses. There is also a mechanism for recognising when there is sufficient evidence to support a firm diagnosis. An implementation of the model in an environment providing integrated support for knowledge acquisition, diagnostic reasoning and explanation is described.
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© 1997 Springer-Verlag Berlin Heidelberg
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McSherry, D. (1997). Hypothesist: A development environment for intelligent diagnostic systems. In: Keravnou, E., Garbay, C., Baud, R., Wyatt, J. (eds) Artificial Intelligence in Medicine. AIME 1997. Lecture Notes in Computer Science, vol 1211. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0029454
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DOI: https://doi.org/10.1007/BFb0029454
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