A Review on Determination of Computer Aid Diagnosis and/or Risk Factors Using Data Mining Methods in Veterinary Field.
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| Title: | A Review on Determination of Computer Aid Diagnosis and/or Risk Factors Using Data Mining Methods in Veterinary Field. |
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| Alternate Title: | Veterinerlik Alanında Veri Madenciliği Yöntemleri Kullanılarak Bilgisayar Destekli Tanı ve/veya Risk Faktörlerinin Belirlenmesi Üzerine Bir İnceleme. |
| Authors: | CİHAN, Pınar1 pkaya@nku.edu.tr, GÖKÇE, Erhan2, KALIPSIZ, Oya3 |
| Source: | Ataturk University Journal of Veterinary Sciences. 2019, Vol. 14 Issue 2, p209-220. 12p. |
| Document Type: | Article |
| Subjects: | Data mining, Veterinary drugs, Animal mortality, Animal diseases, Statistics, Animal culture, Computers |
| Author-Supplied Keywords: | Computer aid diagnosis Veterinary Bilgisayar destekli tanı Veri madenciliği Veterinerlik Language of Keywords: English; Turkish |
| Abstract (English): | 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. [ABSTRACT FROM AUTHOR] |
| Abstract (Turkish): | Veri madenciliği disiplinler arası bir alandır. Bu alanda istatistiksel analiz teknikleri ve yapay zeka algoritmaları kullanılmaktadır. Kullanılan algoritmalar sayesinde verideki gizli bilgiler açığa çıkarılarak ve nitelikli bilgiye dönüştürülmektedir. Veri madenciliği teknikleri sağlık, mühendislik, biyomedikal ve diğer birçok alanda uzun yıllardır etkin bir şekilde kullanılmaktadır ve sağlık bilimlerine önemli ölçüde katkıda bulunduğu bilinmektedir. Ancak bu etkili yöntemin hayvan sağlığında kullanımı oldukça sınırlı olup son yıllarda hayvan sağlığında veri madenciliği yöntemlerinin kullanımı hızlanmıştır. Hayvan hastalıkları ve ölüm oranları hayvancılığın azalmasına neden olmakta ve bu da ülke ekonomisini olumsuz yönde etkilemektedir. Bu alandaki karlılığı artırmak için disiplinler arası çalışmalar çok önemlidir. Bu derlemede, veri madenciliği yöntemlerini kullanarak hayvan hastalıklarının ve / veya risk faktörlerinin belirlenmesine yönelik çalışmalar incelenmiştir. Veterinerlik alanındaki çalışmalar, veri madenciliği yöntemlerinin bu alanda başarıyla uygulanabileceğini göstermektedir. [ABSTRACT FROM AUTHOR] |
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| Author Affiliations: | 1Tekirdağ Namık Kemal University, Çorlu Faculty of Engineering, Department of Computer Engineering, Tekirdağ, TURKEY 2Kafkas University, Faculty of Veterinary Medicine, Department of Internal Medicine, Kars, TURKEY 3Yıldız Technical University, Faculty of Electrical Electronic, Department of Computer Engineering, Istanbul, TURKEY |
| ISSN: | 1306-6137 |
| DOI: | 10.17094/ataunivbd.462197 |
| Accession Number: | 139850350 |
| Database: | Veterinary Source |
| Abstract: | 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. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 13066137 |
| DOI: | 10.17094/ataunivbd.462197 |