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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ADAMS, I. D., CHAN, M., CLIFFORD, P. C. et al. (1986). Computer aided diagnosis of acute abdominal pain: a multicentre study. British Medical Journal, 293, 800–804.
CENDROWSKA, J. (1987). PRISM: An Algorithm for Inducing Modular Rules, International Journal of Man-Machine Studies, 27, 349–370.
de DOMBAL, F. T. (1991). Diagnosis of acute abdominal pain. Churchill Livingstone.
de DOMBAL, F. T., LEAPER, D., STANILAND, J. et al. (1972). Computeraided diagnosis of acute abdominal pain. British Medical Journal, 2, 9–13.
de KLEER, J. and WILLIAMS, B. C. (1987). Diagnosing multiple faults. Artificial Intelligence, 32, 97–130.
ELSTEIN, A. S., SCHULMAN, L. A., and SPRAFKA, S. A. (1978). Medical problem solving: an analysis of clinical reasoning. Harvard University Press.
FOX, J., BARBER, K. D. and BARDHAN, K. D. (1980). Alternatives to Bayes? Methods of Information in Medicine, 19, 210–214.
GORRY, G. A., KASSIRER, J. P., ESSIG, A. and SCHWARTZ, W. B. (1973). Decision analysis as the basis for computer-aided management of acute renal failure. American Journal of Medicine, 55, 473–484.
KASSIRER, J. P. and KOPELMAN, R. I. (1991). Learning clinical reasoning. Williams & Wilkins.
KLEMENZ, B. and McSHERRY, D. (1995) Computer-assisted learning through interaction with a model of diagnostic reasoning. International Conference on Initiatives for Change in Medical Education in Europe (MedEd-21), Vaals, The Netherlands.
McSHERRY, D. (1986). Intelligent dialogue based on statistical models of clinical decision making. Statistics in Medicine, 5, 497–502.
McSHERRY, D. (1992). A domain independent theory for testing fault hypotheses. IEE Colloquium on Intelligent Fault Diagnosis, London.
McSHERRY, D. (1995) Hypothetico-deductive data mining. Proceedings of the Seventh International Symposium on Applied Stochastic Models and Data Analysis, Dublin, 398–407.
McSherry, D and McClean, S. (1995) Intelligent techniques for analysis of inconsistent and missing data in a distributed database environment. Proceedings of Intelligent Data Analysis 95, Baden-Baden, 119–123.
PEARL, J. (1988). Probabilistic reasoning in intelligent systems. Morgan Kaufman.
POPLE, H. E. (1982). Heuristic methods for imposing structure on ill-structured problems: the structuring of medical diagnostics. In Szolovits, P. (ed.) Artificial Intelligence in Medicine, 119–190. Westview Press.
SHORTLIFFE, E. H. and BARNETT, G. O. (1990). Medical data: their acquisition, storage and use. In Shortliffe, E.H. et al. (eds.) Medical informatics: Computer Applications in Health care, 37–69. Addison-Wesley.
SHORTLIFFE, E. H., BUCHANAN, B. G. and FEIGENBAUM, E. A. (1979). Knowledge engineering for medical decision-making: a review of computer-based clinical decision aids. Proceedings of the IEEE, 67,1207–1224.
SPIEGELHALTER, D. and KNILL-JONES, R. (1984). Statistical and knowledge-based approaches to clinical decision-support systems, with an application in gastroenterology. Journal of the Royal Statistical Society Series A, 147, 35–77.
SZOLOVITS, P. and PAUKER, S. G. (1978). Categorical and probabilistic reasoning in medical diagnosis. Artificial Intelligence, 11, 115–144.
SZOLOVITS, P. (1980). The lure of numbers: how to live with and without them in medical diagnosis. In Statland, B.E and Bauer, S. (eds.) Computerassisted decision making using clinical and paraclinical (laboratory) data, 65–75. Mediad Inc.
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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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