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Beschreibung
The current scarcity of expert systems where the reasoning is based on Bayesian probability theory may be due to misconceptions about probabilities found in the literature. As argued by Cheeseman (1985), these misconceptions have led to the attitude: "The Bayesian approach doesn't work - so here is a new scheme". Several of these expert systems based on ad hoc "probability" concepts have been… successful in a number of ways, demonstrating the necessity of being able to handle uncertainty in medical expert systems. They also demonstrate the need for a theoretically sound handling of uncertainty. In Andersen et al. (1986) it was postulated that knowledge organized in a causal network can be used for a unified approach to the main tasks of a medical expert system: diagnosis, planning of tests and explanations. The present paper explores this postulate in a causal probabilistic network. It also provides a practical demonstration that the problems supposedly associated with probabilistic networks are either non-existent or that practical solutions can be found. This paper reports on the methods implemented in MUNIN* -an expert system for electromyography (EMG) (Andreassen et al. 1987). EMG is the diagnosis of muscle and nerve diseases through analysis of bioelectrical signals from muscle and nerve tissue. In Andreassen et al. 106,99 €
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Technische Daten
Erscheinungsdatum
24.08.1987
Sprache
Englisch
EAN
9783540184027
Herausgeber
Springer Berlin
Serien- oder Bandtitel
Lecture Notes in Medical Informatics
Sonderedition
Nein
Seitenanzahl
255
Einbandart
Broschiert
Buch Untertitel
European Conference on Artificial Intelligence in Medicine Marseilles, August 31st – September 3rd 1987 Proceedings
Schlagwörter
European Conference on Artificial Intelligence, Knowledge Engineering, Prolog, Radiologieinformationssystem, artificial intelligence, classification, diagnosis, expert system, intelligence, knowledge, knowledge representation, learning, machine learning, simulation, uncertainty
Thema-Inhalt
UXT - Computeranwendungen in Industrie und Technologie
PSAX - DV-gestützte Biologie/Bioinformatik
Höhe
244 mm
Breite
17 cm
Transparenz & Sicherheit
Hersteller: Springer Nature Customer Service Center GmbH, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com
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