Application of Small Ruminant Database and Data Analysis System (Desktop and Android Application)

Year 2018, Volume: 10 Issue: 2, 99 - 108, 29.06.2018

Pınar Cihan , Oya Kalıpsız , Erhan Gökçe

https://doi.org/10.29137/umagd.372527

Abstract

In today’s world, various information systems have been
designed for helping the physicians in medicine field. By means of these systems, the data associated with
the patients are stored, shared easily or the
analysis about the patients can be done. In
animal health, which is also as important as human health, it
is seen that analyses about the illnesses are quite limited. In
our opinion, one of the most important reasons for this is the lack of a system with which the data on
the animals are stored and shared. Because of the lack
of this kind
of system, limited studies have been
done on animal illnesses and alternative solutions could
not
be provided in detail for illnesses and deaths. Thus, the decrease in animals and animal productions has been rising day by day and
the economy of the country has been affected
negatively. In
this study, a system has been provided in order to
store, share and run
data analysis regarding the records of animals. In addition, visual interfaces have been prepared to facilitate the database procedures.

Keywords

database management systems, data mining, data analyze, small ruminant, veterinary

References

• Cihan, P., Gökçe, E., & Kalıpsız, O. (2017). A Review of Machine Learning Applications in Veterinary Field. Kafkas Üniversitesi Vet. Fakültesi Derg., 23(4), 673–680. doi: 10.9775/kvfd.2016.17281
• Çataloluk, H. (2012). Gerçek Tibbi Veriler Üzerinde Veri Madenciliği Yöntemlerini Kullanarak Hastalik Teşhisi. Yüksek Lisans Tezi. Bilecik Üniversitesi, Bilecik.
• Dinçer, E., & Duru, N. (2009). Prototype of a tool for analysing laryngeal cancer operations. Inform. Health Soc. Care, 34(3), 159–170. doi: 10.1080/17538150903102505
• Gökçe, E., & Erdoğan, H. M. (2009). An epidemiological study on neonatal lamb health. Kafkas Üniversitesi Vet. Fakültesi Derg., 15(2), 225–236.
• Taşbaş, E., Çalık, E., & Dicle, O. (2012). Kronik Pankreatit Evrelemesinde Karar Destek Sistemi Uygulaması. Uluslararası Katılımlı Tıp Bilişimi Kongresi, 50–54.
• Z. Karapınar Şentürk, (2011). Veri Madenciliği ile Kanser Tanısı.Yüksek Lisans Tezi. Düzce Üniversitesi, Düzce.