Design and implementation of a priori information based donor sharing system
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
Abstract (EN)
The purpose of this thesis is to provide communication between donors who are blood donors of patients and health institutions who need blood through cloud servers. Directing them in the most accurate and fast way in the direction of the information that is shared by the volunteers. Some parts of the application are already present in the application markets as products. There are mechanisms to match the donor and the needy and volunteering games. Under the scope of this project, it is important for the volunteer to get as much information as possible and to follow up the donation for voluntary motivation. These two focal points make our application different from similar applications. The development of the application uses the most up-to-date front-end technology, AngularJS, and the well-known and trusted backend technology java programming language. Data management is based on MySQL database server which is easy to use and powerful. SPRING is used as the management framework and it is rich and easy to manage.
Author
Tayfun Çelik
Institution
How to Cite
Tayfun Çelik (Master Thesis). Design and implementation of a priori information based donor sharing system, 2017, Altınbaş University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Altınbaş University
- The comparison of Samuel P. Huntington's "Clash of Civilizations" and Immanuel Wallerstein's "World Systems Analysis"(2024)
- The moderating role of self-efficacy in the effect of adverse childhood experiences on parenting attitudes(2025)
- Hastane mimarisinde fraktal boyutun bilinçli etkisi: Sıcaklık ve konforun artırılması(2024)
- The impact of FoMO on brand loyalty: A study on the cosmetic industry(2024)
- Design of advanced anomaly detection system based on hybrid machine learning technique with optimized feature selection in wireless sensor network(2025)
- Kanser tedavisi amaçlı nano parçacıkların sentezi ve değerlendirilmesi(2025)
