Diagnostic expert systems: a method for engineering knowledge used in sequential diagnosis

Expert Systems

Volumn 17, Issue 4, 2000, Pages 199-211

  Mussi, Silvano ^a  

^a CILEA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION MAKING; KNOWLEDGE ENGINEERING; MATHEMATICAL MODELS; MEDICAL APPLICATIONS; UNCERTAIN SYSTEMS;

DIAGNOSTIC EXPERT SYSTEMS; SEQUENTIAL DIAGNOSIS;

EXPERT SYSTEMS;

EID: 0034262337     PISSN: 02664720     EISSN: None     Source Type: Journal    
DOI: 10.1111/1468-0394.00142     Document Type: Article

References (36)

1. ADAMS, D. et al. (1986) Computer aided diagnosis of acute abdominal pain: a multicentre study, British Medical Journal, 293, 800-804.
2. CARROL, J.S. and E.J. JOHNSON (1990) Decision Research. New York: Sage.
3. CLANCEY, W.J. (1985) Heuristic classification, Artificial Intelligence, 25, 289-350.
4. CLARK, D.A. (1990) Numerical and symbolic approaches to uncertainty management in AI, Artificial Intelligence Review, 4, 109-146.
5. COHEN, P.R. (1985) Heuristic Reasoning about Uncertainty: an Artificial Intelligence Approach, London: Pitman.
6. COHEN, P.R., M. GREENBERG and J. DE LISIO (1987) MU: a development environment for prospective reasoning systems, in Proc. AAAI, Seattle, WA.
7. COLSON, G., C. DE BRUYN and E.Y. RODIN (eds) (1989) Models and Methods in Multiple Criteria Decision Making. Oxford: Pergamon.
8. EDDY, D.M. (1982) Probabilistic reasoning in clinical medicine: problems and opportunities, in Judgment under Uncertainty: Heuristics and Biases, D. Kahneman and P. Slovic (eds), New York: Cambridge University Press.
9. FISHBURN, P.C. (1970) Utility Theory for Decision Making, New York: Wiley.
10. GORRY, G.A. and G.O. BARNETT (1985) Experience with a model of sequential diagnosis, in Computer-assisted Medical Decision Making, J.A. Reggia and S. Turhim (eds), Berlin: Springer, Vol. 1, pp. 206-222.
11. HECKERMAN, D.E., E.J. HORVITZ and B.N. NATHWANI (1992) Toward normative expert systems, Part I: The Pathfinder project, Methods of Information in Medicine, 31, 90-105.
12. HECKERMAN, D.E., A. MAMDANI and M.P. WELLMAN (1995) Real-world applications of Bayesian networks, Communications of the ACM, 38 (3), 24-26.
13. KALAGNANAM, J. and M. HENRION (1990) A comparison of decision analysis and expert rules for sequential diagnosis, in Uncertainty in Artificial Intelligence, R.D. Shachter, T.S. Levitt, L.N. Kanal and J.F. Lemmer (eds), Amsterdam: North-Holland.
14. KEENEY, R.L. and H. RAIFFA (1976) Decisions with Multiple Objectives: Preferences and Value Tradeoffs, New York: Wiley.
15. KHANNA, S. and W.K. FUCHS (1997) A graph partitioning approach to sequential diagnosis, IEEE Transactions on Computers, 46 (1), 39-47.
16. KUIPERS, B., A.J. MOSKOWITZ and J.P. KASSIRER (1990) Critical decisions under uncertainty: representation and structure, in Readings in Uncertain Reasoning, G. Shafer and J. Pearl (eds), San Mateo, CA: Morgan Kaufmann, 105-121.
17. LEDLEY, R.S. and L.B. LUSTED (1961) Medical diagnosis and modern decision making, in Proceedings of the Fourteenth Symposium in Applied Mathematics of the American Mathematical Society, R.E. Bellman (ed.), pp. 117-158.
18. LEE, S.M. and H.B. EOM (1990) Multiple-criteria decision support systems: the powerful tool for attacking complex, unstructured decisions, Systems Practice, 3 (1), 51-65.
19. LEHNER, P.E. and L. ADELMAN (1990) Behavioural decision theory and its implication for knowledge engineering, Knowledge Engineering Review, 5 (1), 5-14.
20. MCDERMOTT, D. and J. DOYLE (1980) Nonmonotonic logic I, Artificial Intelligence, 13, 41-72.
21. MORPURGO, R. and S. MUSSI (1998) I-DSS: an intelligent diagnostic support system, Technical Report Tr23-98, CILEA.
22. PATTIPATI, K.R. and M.G. ALEXANDRIDIS (1990) Application of heuristic search and information theory to sequential fault diagnosis, IEEE Transactions on Systems, Man, and Cybernetics 20 (4), 872-887.
23. PEARL, J. (1988) Probabilistic Reasoning in Intelligent Systems, San Mateo, CA: Morgan Kaufmann.
24. PUTERMAN, M.L. (1994) Markov Decision Processes, New York: Wiley.
25. RAIFFA, H. (1970) Decision Analysis: Introductory Lectures on Choices under Uncertainty, Reading, MA: Addison-Wesley.
26. RIESBECK, C.K. and R.C. SCHANK (1989) Inside Case-based Reasoning, Mahwah, NJ: Lawrence Erlbaum.
27. SHAFER, G. (1976) A Mathematical Theory of Evidence, Princeton, NJ: Princeton University Press.
28. SHAFER, G. and J. PEARL (1990) Readings in Uncertain Reasoning, G. Shafer and J. Pearl (eds), San Mateo, CA: Morgan Kaufmann.
29. SHORTLIFFE, E.G. and B.G. BUCHANAN (1976) Computer based Medical Consultations: Mycin, New York: Elsevier.
30. SOLZOVITS, P. and S.G. PAUKER (1978) Categorical and probabilistic reasoning in medical diagnosis, Artificial Intelligence Journal, 11, 115-144.
31. SOMBÈ, L. (1990) Reasoning under incomplete information in artificial intelligence: a comparison of formalisms using a single example, International Journal of Intelligent Systems, 5, 323-472.
32. TORASSO, P. and L. CONSOLE (1989) Diagnostic Problem Solving, Oxford: North Oxford Academic.
33. VARSHNEY, P.K. and C.R.P. HARTMANN (1984) Sequential fault diagnosis of modular systems, IEEE Transactions on Computers, 33 (2), 194-197.
34. VON WINTERFELDT, D. and W. EDWARDS (1986) Decision Analysis and Behavioral Research, Cambridge: Cambridge University Press.
35. ZADEH, L.A. (1983). Commonsense knowledge representation based on fuzzy logic, Computer, pp. 61-65.
36. ZELENY, M. (1982) Multiple Criteria Decision Making, New York: McGraw-Hill.