Quantitative and qualitative approaches to reasoning under uncertainty in medical decision making

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2101, Issue , 2001, Pages 272-282

  Fox, John ^a   Glasspool, David ^a   Bury, Jonathan ^a  

^a IMPERIAL CANCER RESEARCH FUND   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BEHAVIORAL RESEARCH; DECISION SUPPORT SYSTEMS; FORMAL METHODS; MEDICINE; PROBABILITY; SEMANTICS;

CLASSICAL PROBABILITIES; DECISION SUPPORT APPLICATIONS; EFFECTIVE MANAGEMENT; MEDICAL DECISION MAKING; QUALITATIVE APPROACH; REASONING UNDER UNCERTAINTY; UNCERTAINTY AND RISKS; UNCERTAINTY MANAGEMENT;

DECISION MAKING;

EID: 84947431356     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-48229-6_39     Document Type: Conference Paper

References (28)

1. Kahneman D., Slovic P. and Tversky A. (eds): Heuristics and Biases. Cambridge University Press, Cambridge (1982)
2. Evans J. st B. and Over D.E.: Rationality and reasoning. Psychology press, London (1996)
3. Wright G. and Ayton P. (eds): Subjective Probability. Wiley, Chichester, UK (1994)
4. Gigerenzer G. and Todd P.M.: Simple heuristics that make us smart. Oxford University Press, Oxford (1999)
5. Kahneman, D. and Tversky, A.: Judgement under Uncertainty: Heuristics and Biases. Science, Vol. 185, 27 (1974) pp. 1124-1131.
6. Lindley DV.: Making Decisions (2nd Edition). Wiley, Chichester, UK (1985)
7. Shanteau, J.: Psychological characteristics of expert decision makers. In, J Mumpower (ed) Expert judgement and expert systems. NATO ASI Series, volume F35 (1987)
8. Carpenter R G, Garnder A, McWeeny P M. and Emery J L.: Multistage scoring system for identifying infants at risk of unexpected death. Archives of disease in childhood, 53(8), (1977) pp.600-612
9. Fox J, Barber DC. and Bardhan KD.: Alternatives to Bayes? A quantitative comparison with rule-based diagnosis. Methods of Information in Medicine, 10 (4) (1980) pp.210-215
10. Fox, J. Myers CD., Greaves MF. and Pegram S.: Knowledge acquisition for expert systems: experience in leukaemia diagnosis. Methods of Information in Medicine, 24 (1) (1985) pp.65-72
11. O’Neil MJ. and Glowinski AJ.: Evaluating and validating very large knowledge-based systems. Medical Informatics, 15 (3) (1990) pp.237-251
12. Pradhan M.: The sensitivity of belief networks to imprecise probabilities: an experimental investigation. Artificial Intelligence Journal, 84 (1-2) (1996) pp.365-397
13. Krause P. and Clark C.: Uncertainty and Subjective Probability in AI Systems In Wright G & Ayton P (Eds) Subjective Probability, Wiley J & Sons (1994) pp.501-527
14. Hunter, A. and Parsons, S. (Editors) Applications of uncertainty formalisms, Springer Verlag, LNAI 1455, (1998)
15. Cohen P.R.: Heuristic Reasoning: An Artificial Intelligence Approach. Pitman Advanced Publishing Program, Boston (1985)
16. Fox J.: On the necessity of probability: Reasons to believe and grounds for doubt. In Wright G, Ayton, P, eds., Subjective Probability. John Wiley, Chichester (1994)
17. Fox J, Krause P. and Ambler S.: Arguments, contradictions and practical reasoning. In Neumann B, ed. Proceedings of the 10th European Conference on AI (ECAI92), Vienna, Austria (1992) pp.623-627
18. Curley SP. and Benson PG.: Applying a cognitive perspective to probability construction. In G Wright & P Ayton (eds.), Subjective Probability. John Wiley & Sons. Chichester, England (1994) pp. 185-209
19. Fox J. and Das S K.: Safe and Sound: Artificial Intelligence in Hazardous Applications, American Association of Artificial Intelligence and MIT Press (2000)
20. Tonnelier CAG., Fox J., Judson P., Krause P., Pappas N. and Patel M.: Representation of Chemical Structures in Knowledge-Based Systems. J. Chem. Inf. Sci. 37 (1997) pp.117-123.
21. Elvang-Goransson M, Krause P.J and Fox J.: Acceptability of Arguments as Logical Uncertainty. In: Clarke M, Kruse R and Moral S, eds. Symbolic and Quantitative Approaches to Reasoning and Uncertainty. Proceedings of European Conference ECSQARU 93. Lecture Notes in Computer Science 747. Springer-Verlag (1993) pp.85-90.
22. Glasspool DW. and Fox J.: Understanding probability words by constructing concrete mental models. In Hahn M, Stoness, SC, eds, Proceedings of the 21st Annual Conference of the Cognitive Science Society (1999) pp.185-190
23. Walton RT, Gierl C, Yudkin P, Mistry H, Vessey MP & Fox J.: Evaluation of computer support for prescribing (CAPSULE) using simulated cases. British Medical Journal 315 (1997) pp.791-795.
24. Emery J, Watson E, Rose P and Andermann, A. A systematic review of the literature exploring the role of primary care in genetic services. Fam. Prac. 16 (1999) pp.426-45.
25. Coulson AS, Glasspool DW, Fox J and Emery J. Computerized Genetic Risk Assessment from Family Pedigrees. MD computing, in press.
26. Emery J., Walton, R., Murphy, M., Austoker, J., Yudkin, P., Chapman, C., Coulson, A., Glasspool, D. and Fox, J.: Computer support for interpreting family histories of breast and ovarian cancer in primary care: comparative study with simulated cases. British Medical Journal, 321 (2000) pp.28-32.
27. Claus E, Schildkraut J, Thompson WD and Risch, N. The genetic attributable risk of breast and ovarian cancer. Cancer 1996; 77, pp. 2318-24.
28. Taylor, P, Fox J and Todd-Pokropek, A “The development and evaluation of CADMIUM: a prototype system to assist in the interpretation of mammograms” Medical Image Analysis, 1999, 3 (4), 321-337.