DECISION TREE APPLICATION TO REDUCE INCORRECT DIAGNOSIS IN SYMPTOMS OF JAUNDICE

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dc.contributor.authorTopaloglu, Murat
dc.contributor.authorSur, Haydar
dc.date.accessioned2024-06-12T11:07:22Z
dc.date.available2024-06-12T11:07:22Z
dc.date.issued2015
dc.departmentTrakya Üniversitesien_US
dc.description.abstractObjective: In this study, decision support system was created to diagnose jaundice and to reduce incorrect diagnosis of jaundice. The study was conducted to help physicians to diagnose jaundice. Material and Method: In this study, data of 300 patients diagnosed with jaundice was taken from a health institution. All tests performed for the patients were included in the study from the beginning of complaints to the final diagnosis. To this end, data of patients previously diagnosed with jaundice were collected in the database, edited, and organized. Training kit was created with this organized data. Then data mining methods applied to agreed algorithms and the decision tree models were created from the results. Decision trees were created by using C5.0 and J48 algorithms. The purpose of the decision tree is to reach 16 illness using 21 qualities. Results: In decision support system are two different decision trees and separate pages designed according to expert opinion. The purpose is not to create decision support system with a single decision tree, but to identify the disease with three different opinions. Trimming operations were carried out in trees created with the algorithms. With most appropriate trimming 16 illnesses were reached with 100% accuracy. Conclusion: Decision support system helping the physicians be able to use the decision trees in clinic environment easily has been developed. This study was conducted with the aim of preventing time loss in diagnosis phase and helping the physicians diagnose jaundice accurately.en_US
dc.identifier.endpage73en_US
dc.identifier.issn1305-2381
dc.identifier.issue3en_US
dc.identifier.startpage64en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14551/21990
dc.identifier.volume11en_US
dc.identifier.wosWOS:000373723200012en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherNobel Ilacen_US
dc.relation.ispartofNobel Medicusen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectJaundiceen_US
dc.subjectDecision Treesen_US
dc.subjectDifferential Diagnosisen_US
dc.subjectExpert Opinionen_US
dc.titleDECISION TREE APPLICATION TO REDUCE INCORRECT DIAGNOSIS IN SYMPTOMS OF JAUNDICEen_US
dc.typeArticleen_US

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