Veterinerlik Alanında Veri Madenciliği Yöntemleri Kullanılarak Bilgisayar Destekli Tanı ve/veya Risk Faktörlerinin Belirlenmesi Üzerine Bir İnceleme

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.

A Review on Determination of Computer Aid Diagnosis and/or Risk Factors Using Data Mining Methods in Veterinary Field

Data mining is an interdisciplinary field. In this field, statistical analysis techniques and artificial intelligencealgorithms are used. Thanks to the algorithms used, hidden information within the data is revealed and transformed intoqualified information. Data mining techniques have been used effectively in health, engineering, biomedicine and many otherfields for many years, and are known to contribute significantly to health sciences. However, the use of this effective methodin animal health is very limited and the use of data mining methods in animal health has accelerated in recent years. Animalillness and mortality cause decrease husbandry and this impact negatively on the national economy. Interdisciplinary studiesare very important to increase profitability in this field. In this review, studies on the determination of animal diseases and/orrisk factors using data mining methods have been examined. Studies in the veterinary field shows the data mining methodscan be successfully applied in this field.

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