A review on determination of computer aid diagnosis and/or risk factors using data mining methods in veterinary field
Yükleniyor...
Dosyalar
Tarih
2019
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ataturk Universitesi
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Data 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.
Açıklama
Anahtar Kelimeler
Anahtar Kelimeler: Computer aid diagnosis, Data mining, Veterinary, biological marker, accuracy, algorithm, animal disease, Article, artificial intelligence, cause of death, computer language, computer model, dairy cattle, data mining, discriminant analysis, fever, Huntington chorea, lung adenocarcinoma, machine learning, mastitis, mortality, nonhuman, parasitism, prevalence, risk factor, sensitivity and specificity, statistical analysis, support vector machine, veterinary clinic, veterinary medicine
Kaynak
Ataturk Universitesi Veteriner Bilimleri Dergisi
WoS Q Değeri
Scopus Q Değeri
Q4
Cilt
14
Sayı
2
