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 concept will be as a result of misconceptions approximately percentages present in the literature. As argued by way of Cheeseman (1985), those misconceptions have ended in the perspective: "The Bayesian procedure does not paintings - so here's a new scheme". numerous of those professional platforms according to advert hoc "probability" strategies were winning in a couple of methods, demonstrating the need of having the ability to address uncertainty in medical examiner platforms. additionally they exhibit the necessity for a theoretically sound dealing with of uncertainty. In Andersen et al. (1986) it used to be postulated that wisdom equipped in a causal community can be utilized for a unified method of the most initiatives of a health worker process: prognosis, making plans of assessments and causes. the current paper explores this postulate in a causal probabilistic community. It additionally offers a realistic demonstration that the issues supposedly linked to probabilistic networks are both non-existent or that sensible ideas are available. This paper stories at the equipment applied in MUNIN* -an professional procedure 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 info for AIME 87: European Conference on Artificial Intelligence in Medicine Marseilles, August 31st – September 3rd 1987 Proceedings
Eds): Medinfo 86. Proceedings of the Fifth Conference on Medical Informatics, Washington, October 26-30, 1986. (NorthHolland Publ. , Amsterdam: 1986) 32-36. 8. : Hospital Information Systems - Past, Present, Future -. Key-note address during Medical Informatics Europe 84, 5th Congress of the European Federation for Medical Informatics, Brussels, Sept. 10-13, 1984. 33 9. : ONCOCIN: An Expert System for Oncology Protocol Management. In: Proc. Seventh International Joint Conference on Artificial Intelligence.
Kitslaar (2 and Renee Penders (3 (1 Department of Medical Informatics and Statistics, University of Limburg, Maastricht, The Netherlands (2 Department of Surgery, University Hospital Maastricht. (3 Vascular Laboratory, University Hospital Maastricht. ABSTRACT The diagnosis and therapy planning in patients with peripheral vascular disease is an area in medicine that is well suited for the development of protocols and for the application of decision support systems. In this paper the diagnostic process approach and to discussed.
Patient rules) or conclusion the consultation Hypotheses" latter diagnostic data). is made of findings, hypotheses, and They are production conclusions) can relate rules that infer from the set of findings findings to hypotheses (FH hypotheses to each other (HH rules). The strenght of each quantified is interval hypotheses The model by figures (confidence weights) lying in -1 (absolute disproof) to +1 (absolute certainty). The can and be organized in a taxonomic structure. "Intermediate "Treatments" can also be defined.
AIME 87: European Conference on Artificial Intelligence in Medicine Marseilles, August 31st – September 3rd 1987 Proceedings by Christian Mery, Bernard Normier, Antoine Ogonowski (auth.), John Fox, Marius Fieschi, Rolf Engelbrecht (eds.)