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1994 | OriginalPaper | Chapter

Diagnostic systems by model selection: a case study

Authors : S. L. Lauritzen, B. Thiesson, D. J. Spiegelhalter

Published in: Selecting Models from Data

Publisher: Springer New York

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Probabilistic systems for diagnosing blue babies are constructed by model selection methods applied to a database of cases. Their performance are compared with a system built primarily by use of expert knowledge. Results indicate that purely automatic methods do not quite perform at the level of expert based systems, but when expert knowledge is incorporated properly, the methods look very promising.

Metadata
Title
Diagnostic systems by model selection: a case study
Authors
S. L. Lauritzen
B. Thiesson
D. J. Spiegelhalter
Copyright Year
1994
Publisher
Springer New York
DOI
https://doi.org/10.1007/978-1-4612-2660-4_15