By Christian Mery, Bernard Normier, Antoine Ogonowski (auth.), John Fox, Marius Fieschi, Rolf Engelbrecht (eds.)

The present shortage of professional structures the place the reasoning is predicated on Bayesian chance idea might be because of misconceptions approximately percentages present in the literature. As argued by way of Cheeseman (1985), those misconceptions have ended in the angle: "The Bayesian procedure does not paintings - so here's a new scheme". a number of of those professional platforms in response to advert hoc "probability" recommendations were profitable in a few methods, demonstrating the need of having the ability to address uncertainty in health worker platforms. in addition they display the necessity for a theoretically sound dealing with of uncertainty. In Andersen et al. (1986) it was once postulated that wisdom equipped in a causal community can be utilized for a unified method of the most initiatives of a medical examiner method: analysis, making plans of checks and causes. the current paper explores this postulate in a causal probabilistic community. It additionally offers a pragmatic demonstration that the issues supposedly linked to probabilistic networks are both non-existent or that sensible options are available. This paper stories at the tools applied in MUNIN* -an professional method for electromyography (EMG) (Andreassen et al. 1987). EMG is the prognosis of muscle and nerve ailments via research of bioelectrical indications from muscle and nerve tissue. In Andreassen et al.

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Extra resources for AIME 87: European Conference on Artificial Intelligence in Medicine Marseilles, August 31st – September 3rd 1987 Proceedings

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Data entry, for time being, is very much structured. The user is prompted for the test re- sults. Further developments with respect to the user interface are necessary to integrate the system into routine clinical practice. 44 SUMMARY AND CONCLUSION We described a research program for the development of a decision support sys- tem for the diagnosis and treatment planning for patients with peripheral vas- cular on disease. The structure of the domain was outlined. We reported in detail the subsystem invasive lower for the interpretation of the results of tests for the non- assessement of the severity of obstructions of the arteries of the extremities.

127-135. Fox J, Barber D, Bardhan KD, 1980: 'Alternatives to Bayes: a quantitative comparison with rule-based diagnostic inference'; Meth. Inform. Med. vol. 210-215. Fox J, Myers CD, Greaves MF, Pegram S, 1985: 'Knowledge 22 acquisition for expert systems: experience in leukaemia diagnosis'; Meth. Inf. Med. vol. 24, pp. 65-72. Fox J, Duncan TD, Frost D, Glowinski A, Hajnal S, O'Neill M, F, 1986: 'Organising a large knowledge base: the Oxford System of Medicine', paper presented at Expert Systems '86 (Brighton) .

649-657. 18. ', NEJMed vol. 316, pp. 685-688. 5hortliffe EH, Davis R, Axline SG et alii, 1975: 'Computer based consultations in clinical therapeutics... the MYCIN system'; Computers & Biomed. Res. vol. 8, pp. Shortliffe EH, Clancey WJ, 1984: 'Anticipating the second decade'; in 'Readings in medical AI', eds. Shortliffe & Clancey, pub. Addison Wesley 1984. 207-216. Szolovits P, Long WJ, 1982: 'The development of clinical expertise in the computer'; chap. 4 in 'Artificial inteligence in medicine', ed.

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