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Item Details
Title:
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AIME 87
EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE IN MEDICINE MARSEILLES, AUGUST 31ST - SEPTEMBER 3RD 1987 PROCEEDINGS |
By: |
John Fox (Editor), Marius Fieschi (Editor), Rolf Engelbrecht (Editor) |
Format: |
Paperback |
List price:
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£89.99 |
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further information.
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ISBN 10: |
3540184023 |
ISBN 13: |
9783540184027 |
Publisher: |
SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG |
Pub. date: |
24 August, 1987 |
Series: |
Lecture Notes in Medical Informatics 33 |
Pages: |
255 |
Description: |
Organized in Cooperation with IIRIAM, International Institute of Robotics and Artificial Intelligence, Marseille, France |
Synopsis: |
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. |
Illustrations: |
X, 255 p. |
Publication: |
Germany |
Imprint: |
Springer-Verlag Berlin and Heidelberg GmbH & Co. K |
Returns: |
Returnable |
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Ramadan and Eid al-Fitr
A celebratory, inclusive and educational exploration of Ramadan and Eid al-Fitr for both children that celebrate and children who want to understand and appreciate their peers who do.
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