Matches in SemOpenAlex for { <https://semopenalex.org/work/W2049204973> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W2049204973 endingPage "538" @default.
- W2049204973 startingPage "527" @default.
- W2049204973 abstract "This paper discusses a comparison of one heuristic and two Bayesian belief network based expert systems used to aid veterinarians in the process of differential diagnoses of equine diseases where coughing is the presenting clinical sign. Each implementation infers the likelihood of the presence of a number of diseases based on information on the presence or absence of certain clinical signs. The Bayesian belief network approaches are similar except that one includes the use of prior information in the form of disease prevalence estimates. Both are implemented using the Hugin software package. The three approaches were compared using test cases and the lists of resulting diagnoses were examined for agreement using a measure of concordance. The results indicated a difference between the heuristic approach which used the rule-based scoring mechanism and the Bayesian systems. There was, however, little difference between the diagnoses produced by the two Bayesian implementations, indicating that the incorporation of prevalence data makes little difference in diagnostic systems of this type. The findings were also compared with those of clinical experts. The analysis indicated that clinicians were not always in agreement. Moreover, using the same set of test cases the experts were more in agreement with the Bayesian approaches than with the heuristic approach." @default.
- W2049204973 created "2016-06-24" @default.
- W2049204973 creator A5006194101 @default.
- W2049204973 creator A5008798809 @default.
- W2049204973 creator A5055249521 @default.
- W2049204973 creator A5068789266 @default.
- W2049204973 creator A5075795489 @default.
- W2049204973 creator A5085423309 @default.
- W2049204973 date "2003-05-01" @default.
- W2049204973 modified "2023-10-17" @default.
- W2049204973 title "Comparing diagnoses from expert systems and human experts" @default.
- W2049204973 cites W1492518391 @default.
- W2049204973 cites W1986695152 @default.
- W2049204973 cites W1988104437 @default.
- W2049204973 cites W1993691378 @default.
- W2049204973 cites W2039926681 @default.
- W2049204973 cites W2105063073 @default.
- W2049204973 cites W2134927045 @default.
- W2049204973 cites W2339530503 @default.
- W2049204973 cites W4244129622 @default.
- W2049204973 doi "https://doi.org/10.1016/s0308-521x(02)00035-5" @default.
- W2049204973 hasPublicationYear "2003" @default.
- W2049204973 type Work @default.
- W2049204973 sameAs 2049204973 @default.
- W2049204973 citedByCount "13" @default.
- W2049204973 countsByYear W20492049732012 @default.
- W2049204973 countsByYear W20492049732014 @default.
- W2049204973 countsByYear W20492049732015 @default.
- W2049204973 countsByYear W20492049732016 @default.
- W2049204973 countsByYear W20492049732017 @default.
- W2049204973 crossrefType "journal-article" @default.
- W2049204973 hasAuthorship W2049204973A5006194101 @default.
- W2049204973 hasAuthorship W2049204973A5008798809 @default.
- W2049204973 hasAuthorship W2049204973A5055249521 @default.
- W2049204973 hasAuthorship W2049204973A5068789266 @default.
- W2049204973 hasAuthorship W2049204973A5075795489 @default.
- W2049204973 hasAuthorship W2049204973A5085423309 @default.
- W2049204973 hasConcept C107673813 @default.
- W2049204973 hasConcept C119857082 @default.
- W2049204973 hasConcept C124101348 @default.
- W2049204973 hasConcept C126322002 @default.
- W2049204973 hasConcept C142724271 @default.
- W2049204973 hasConcept C154945302 @default.
- W2049204973 hasConcept C160234255 @default.
- W2049204973 hasConcept C160798450 @default.
- W2049204973 hasConcept C162376815 @default.
- W2049204973 hasConcept C173801870 @default.
- W2049204973 hasConcept C33724603 @default.
- W2049204973 hasConcept C41008148 @default.
- W2049204973 hasConcept C534262118 @default.
- W2049204973 hasConcept C58328972 @default.
- W2049204973 hasConcept C71924100 @default.
- W2049204973 hasConceptScore W2049204973C107673813 @default.
- W2049204973 hasConceptScore W2049204973C119857082 @default.
- W2049204973 hasConceptScore W2049204973C124101348 @default.
- W2049204973 hasConceptScore W2049204973C126322002 @default.
- W2049204973 hasConceptScore W2049204973C142724271 @default.
- W2049204973 hasConceptScore W2049204973C154945302 @default.
- W2049204973 hasConceptScore W2049204973C160234255 @default.
- W2049204973 hasConceptScore W2049204973C160798450 @default.
- W2049204973 hasConceptScore W2049204973C162376815 @default.
- W2049204973 hasConceptScore W2049204973C173801870 @default.
- W2049204973 hasConceptScore W2049204973C33724603 @default.
- W2049204973 hasConceptScore W2049204973C41008148 @default.
- W2049204973 hasConceptScore W2049204973C534262118 @default.
- W2049204973 hasConceptScore W2049204973C58328972 @default.
- W2049204973 hasConceptScore W2049204973C71924100 @default.
- W2049204973 hasIssue "2" @default.
- W2049204973 hasLocation W20492049731 @default.
- W2049204973 hasOpenAccess W2049204973 @default.
- W2049204973 hasPrimaryLocation W20492049731 @default.
- W2049204973 hasRelatedWork W1506744765 @default.
- W2049204973 hasRelatedWork W1601684588 @default.
- W2049204973 hasRelatedWork W193226913 @default.
- W2049204973 hasRelatedWork W2006447100 @default.
- W2049204973 hasRelatedWork W2031724976 @default.
- W2049204973 hasRelatedWork W2091582013 @default.
- W2049204973 hasRelatedWork W2104328188 @default.
- W2049204973 hasRelatedWork W2108427450 @default.
- W2049204973 hasRelatedWork W3124023584 @default.
- W2049204973 hasRelatedWork W648938440 @default.
- W2049204973 hasVolume "76" @default.
- W2049204973 isParatext "false" @default.
- W2049204973 isRetracted "false" @default.
- W2049204973 magId "2049204973" @default.
- W2049204973 workType "article" @default.