2024-07-032024-07-032020-01-01978-1-7281-9352-6https://doi.org/10.1109/hora49412.2020.9152872https://hdl.handle.net/11452/42785Bu çalışma, 26-27 Haziran 2020 tarihleri arasında düzenlenen 2nd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)’da bildiri olarak sunulmuştur.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.eninfo:eu-repo/semantics/closedAccessBlood donationMachine learningDonorBlood transfusionScience & technologyTechnologyComputer science, theory & methodsRoboticsComputer scienceRoboticsProceedings Paper00064440430008449049310.1109/hora49412.2020.9152872