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Comparison of different inference algorithms for medical decision making

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dc.contributor.authorKose, Guven
dc.contributor.authorSever, Hayri
dc.contributor.authorBal, Mert
dc.contributor.authorUstundag, Alp
dc.date.accessioned2026-06-27T13:24:02Z
dc.date.issued2014
dc.description.abstractA medical diagnosis system (DRCAD), which consists of two sub-modules Bayesian and rule-based inference models, is presented in this study. Three types of tests are conducted to assess the performances of the models producing synthetic data based on the ALARM network. The results indicate that the linear combination of the aforementioned models leads to a 5% and a 30% improvement in medical diagnosis when compared to the Rule Based Method and the Bayesian Network Based Method, respectively.en
dc.description.sponsorshipTUBITAK, DRCAD Medical Decision Support System [3050042]
dc.description.urihttps://doi.org/10.1080/18756891.2014.853929
dc.identifier.doi10.1080/18756891.2014.853929
dc.identifier.eissn1875-6883
dc.identifier.endpage44
dc.identifier.issn1875-6891
dc.identifier.startpage29
dc.identifier.urihttps://hdl.handle.net/20.500.14981/52648
dc.identifier.volume7
dc.identifier.wos000325810500004
dc.language.isoeng
dc.publisherATLANTIS PRESS
dc.relation.ispartofINTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS
dc.rightsopenAccess
dc.subjectMedical Decision Support Systems
dc.subjectBayesian Networks
dc.subjectRule-Based Systems
dc.subjectALARM Network
dc.subjectARTIFICIAL-INTELLIGENCE
dc.subjectComputer Science
dc.titleComparison of different inference algorithms for medical decision making
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

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