Publication:
Analyzing blood donation probabilities and number of possible donors

No Thumbnail Available

Date

2020-01-01

Authors

Kırcı, Pınar
Aktaş, Şeyma
Sevinç, Burcu

Authors

Journal Title

Journal ISSN

Volume Title

Publisher

Ieee

Research Projects

Organizational Units

Journal Issue

Abstract

In the paper, many critical data of donors were used. A donor's blood donation frequency and the last donation time were included in the utilized data. The utilization of these data types were very important for providing a solution to determine blood donation probabilities. By using many machine learning approaches on blood transfusion data, it is tried to be estimated, if a possible donor will provide blood donation again. Used algorithms were compared by computing their classification performances.

Description

Bu çalışma, 26-27 Haziran 2020 tarihleri arasında düzenlenen 2nd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)’da bildiri olarak sunulmuştur.

Keywords

Blood donation, Machine learning, Donor, Blood transfusion, Science & technology, Technology, Computer science, theory & methods, Robotics, Computer science, Robotics

Citation

Collections

1

Views

0

Downloads

Search on Google Scholar