Publication:
Analyzing blood donation probabilities and number of possible donors

Placeholder

Organizational Units

Authors

Kırcı, Pınar
Aktaş, Şeyma
Sevinç, Burcu

Authors

Advisor

Language

Publisher:

Ieee

Journal Title

Journal ISSN

Volume Title

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.

Source:

Keywords:

Keywords

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

Citation

Endorsement

Review

Supplemented By

Referenced By

0

Views

0

Downloads

View PlumX Details