Publication:
Analyzing blood donation probabilities and number of possible donors

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Date

2020-01-01

Authors

Kırcı, Pınar
Aktaş, Şeyma
Sevinç, Burcu

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Ieee

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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.

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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

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