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dc.contributor.authorCihan, Pınar
dc.contributor.authorGökçe, E.
dc.contributor.authorKalipsiz, Oya
dc.date.accessioned2022-05-11T14:15:54Z
dc.date.available2022-05-11T14:15:54Z
dc.date.issued2019
dc.identifier.issn1306-6137
dc.identifier.urihttps://doi.org/10.17094/ataunivbd.462197
dc.identifier.urihttps://hdl.handle.net/20.500.11776/6117
dc.description.abstractData mining is an interdisciplinary field. In this field, statistical analysis techniques and artificial intelligence algorithms are used. Thanks to the algorithms used, hidden information within the data is revealed and transformed into qualified information. Data mining techniques have been used effectively in health, engineering, biomedicine and many other fields for many years, and are known to contribute significantly to health sciences. However, the use of this effective method in animal health is very limited and the use of data mining methods in animal health has accelerated in recent years. Animal illness and mortality cause decrease husbandry and this impact negatively on the national economy. Interdisciplinary studies are very important to increase profitability in this field. In this review, studies on the determination of animal diseases and/or risk factors using data mining methods have been examined. Studies in the veterinary field shows the data mining methods can be successfully applied in this field. © 2019 Ataturk Universitesi. All rights reserved.en_US
dc.language.isoengen_US
dc.publisherAtaturk Universitesien_US
dc.identifier.doi10.17094/ataunivbd.462197
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAnahtar Kelimeler: Computer aid diagnosisen_US
dc.subjectData miningen_US
dc.subjectVeterinaryen_US
dc.subjectbiological markeren_US
dc.subjectaccuracyen_US
dc.subjectalgorithmen_US
dc.subjectanimal diseaseen_US
dc.subjectArticleen_US
dc.subjectartificial intelligenceen_US
dc.subjectcause of deathen_US
dc.subjectcomputer languageen_US
dc.subjectcomputer modelen_US
dc.subjectdairy cattleen_US
dc.subjectdata miningen_US
dc.subjectdiscriminant analysisen_US
dc.subjectfeveren_US
dc.subjectHuntington choreaen_US
dc.subjectlung adenocarcinomaen_US
dc.subjectmachine learningen_US
dc.subjectmastitisen_US
dc.subjectmortalityen_US
dc.subjectnonhumanen_US
dc.subjectparasitismen_US
dc.subjectprevalenceen_US
dc.subjectrisk factoren_US
dc.subjectsensitivity and specificityen_US
dc.subjectstatistical analysisen_US
dc.subjectsupport vector machineen_US
dc.subjectveterinary clinicen_US
dc.subjectveterinary medicineen_US
dc.titleA review on determination of computer aid diagnosis and/or risk factors using data mining methods in veterinary fielden_US
dc.typearticleen_US
dc.relation.ispartofAtaturk Universitesi Veteriner Bilimleri Dergisien_US
dc.departmentFakülteler, Çorlu Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.identifier.volume14en_US
dc.identifier.issue2en_US
dc.identifier.startpage209en_US
dc.identifier.endpage220en_US
dc.institutionauthorCihan, Pınar
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.authorscopusid56539994200
dc.authorscopusid25635201400
dc.authorscopusid13408912900
dc.identifier.scopus2-s2.0-85077433609en_US


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