Cihan, PınarGökçe, E.Kalipsiz, Oya2022-05-112022-05-1120191306-6137https://doi.org/10.17094/ataunivbd.462197https://hdl.handle.net/20.500.11776/6117Data 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.en10.17094/ataunivbd.462197info:eu-repo/semantics/closedAccessAnahtar Kelimeler: Computer aid diagnosisData miningVeterinarybiological markeraccuracyalgorithmanimal diseaseArticleartificial intelligencecause of deathcomputer languagecomputer modeldairy cattledata miningdiscriminant analysisfeverHuntington chorealung adenocarcinomamachine learningmastitismortalitynonhumanparasitismprevalencerisk factorsensitivity and specificitystatistical analysissupport vector machineveterinary clinicveterinary medicineArticle1422092202-s2.0-85077433609Q4