Reasoning and acquisition of knowledge in a system for hand wound diagnosis and prognosis
The paper describes a diagnostic system for hand wounds. The system shall not only propose diagnostic decisions (because this would not be sufficient for starting a complex therapeutic treatment), but shall also provide with a number of subdiagnoses describing results of subtests and makes available tools for knowledge acquisition from data. The system, implemented as a CGI service, possesses an interface based on an HTML-browser in an Internet-like network.
It consists of a bilingual database, a dictionary subsystem, a deterministic expert system, a Bayesian network base expert system, an automatic Bayesian network acquisition module and a visual Bayesian network editor.
Key wordsIntelligent Information Systems Knowledge Representation and Integration Learning and Knowledge Discovery reasoning diagnostic systems Bayesian networks internet
Unable to display preview. Download preview PDF.
- 1.Acid S., de Campos L.M.: Approximations of Causal Networks by Polytrees: an Empirical Study. IMPU’94, Information Processing and Management of Uncertainty in Knowledge-Based Systems, pp. 972–977, Paris, 1994Google Scholar
- 2.Bertele, U., and Brioschi, F. Nonserial Dynamic Programming, Academic Press, 1972.Google Scholar
- 3.Buchman B., Shortliffe E.: Rule-based Expert Systems, Addison-Wesley, 1984.Google Scholar
- 5.Jensen V.F. An introduction to Bayesian networks, University College Press, London, 1996.Google Scholar
- 6.Kłopotek M.A., Wierzchoń S.T., Michalewicz M.: Internet WWW as a new challange and chance for construction of friendly expert systems (in Polish). Proceedings of All-Polish Symposium “Artifical Intelligence and System Development” (CIR’96) Siedlce, 19–20 Sept. 1996, pp. 285–294.Google Scholar
- 8.Pearl J.: Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference, Morgan Kaufmann, San Mateo CA, 1988Google Scholar
- 9.Pople, Jr., H. E.: Heuristic methods for imposing structure on ill-structured problems: The structuring of medical diagnostics. In Szolovits P., editor, Artificial Intelligence in Medicine, pp. 119–189. Westview Press, Boulder, Colorado, 1982.Google Scholar
- 11.Shenoy, P.P.: Valuation-based systems: A framework for managing uncertainty in expert systems, in: L.A. Zadeh and J. Kacorzyk (eds.), Fuzzy Logic for the Management of Uncertainty, J. Wiley & Sons, New York, 1992, pp. 83–104.Google Scholar
- 12.Spirtes P., Glymour C., Scheines R.: Causation, Prediction and Search, Lecture Notes in Statistics 81, Springer-Verlag, 1993.Google Scholar
- 14.Wierzchoń S.T., Kłopotek M.A., Michalewicz M.Strużyna J.: Implementation of a bilingual educational expert system in a medical domain (in Polish), Proceedings of All-Polish AI Symposium (CIR’96) Siedlce, 19–20 Sept. 1996, pp. 235–244Google Scholar
- 15.Wierzchoń, S.T.: Constraint propagation over restricted space of configurations, in: R.R. Yager, J. Kacprzyk, and M. Fedrizzi (eds.) Advances in Dempster-Shafer Theory of Evidence, J. Wiley & Sons, New York 1994, pp. 375–394.Google Scholar
- 16.Wierzchoń S.T.: Methods for Representing and Processing Uncertain Information in the Dempster-Shafer Framework (in Polish), ICS PAS Press:, Warszawa, 1996.Google Scholar
- 17.Wierzchoń S.T., Kłopotek M.A., Michalewicz M.: A genetic-based algorithm for facts explanation in graphoidal expert systems, in: Proc. of 3-rd Biennial Joint Conference on Engineering Systems Design and Analysis, Montpelier, France 1996.Google Scholar
- 18.Wierzchoń S.T., Kłopotek M.A.: A Bilingual Educational Expert System For Hand Wounds Initial Diagnosis. Journal of Knowledge-based Intelligent Engineering Systems. Vol. 2 No. 4 (1998), pp. 211–222.Google Scholar