Ensembled correlation between liver analysis outputs

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dc.contributor.authorSeker S.E.
dc.contributor.authorUnal Y.
dc.contributor.authorErdem Z.
dc.contributor.authorKocer H.E.
dc.date.accessioned2020-03-26T18:59:05Z
dc.date.available2020-03-26T18:59:05Z
dc.date.issued2014
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractData mining techniques on the biological analysis are spreading for most of the areas including the health care and medical information. We have applied the data mining techniques, such as KNN, SVM, MLP or decision trees over a unique dataset, which is collected from 16,380 analysis results for a year. Furthermore we have also used meta-classifiers to question the increased correlation rate between the liver disorder and the liver analysis outputs. The results show that there is a correlation among ALT, AST, Billirubin Direct and Billirubin Total down to 15% of error rate. Also the correlation coefficient is up to 94%. This makes possible to predict the analysis results from each other or disease patterns can be applied over the linear correlation of the parameters.en_US
dc.identifier.endpage5en_US
dc.identifier.issn1998-4510en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage1en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/31408
dc.identifier.volume8en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherNorth Atlantic University Union NAUNen_US
dc.relation.ispartofInternational Journal of Biology and Biomedical Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectData miningen_US
dc.subjectDecision treesen_US
dc.subjectKnnen_US
dc.subjectLiver analysisen_US
dc.subjectMlpen_US
dc.subjectSvmen_US
dc.titleEnsembled correlation between liver analysis outputsen_US
dc.typeArticleen_US

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