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Medical diagnosis using influence diagrams
Author(s) -
De Bragança Pereira Carlos Alberto,
Barlow Richard E.
Publication year - 1990
Publication title -
networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.977
H-Index - 64
eISSN - 1097-0037
pISSN - 0028-3045
DOI - 10.1002/net.3230200506
Subject(s) - bayesian probability , computer science , influence diagram , medical diagnosis , data mining , algorithm , artificial intelligence , medicine , decision tree , pathology
Influence diagrams are used to illustrate how the probability of having a disease can be updated given the results from two or more clinical tests. The problem of calibrating a register using results from a survey, as discussed by Heldal and Spjøtvoll (1988), is solved using a Bayesian approach.
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