DELVING INTO BLOOD TRANSFUSIONS DATA THROUGH DATA MINING: A STUDY OF MAIZBHANDARI SHAH EMDADIA BLOOD DONORS GROUP TO SELECT VOLUNTEER BLOOD DONORS EFFICIENTLY

  • Syed Irfanul Hoque Managing Trustee of Darul Irfan Research Institute, Bangladesh
  • Md. Minhazul Abedin Noakhali Science and Technology University, Bangladesh
  • Mohammad Sohel Chowdhury Noakhali Science and Technology University, Bangladesh
Keywords: Data Mining, Maizbhandar Blood Donation, Clustering, Classification, Prediction Model.

Abstract

The demand for blood transfusion is rising gradually. Therefore, volunteer blood donors are needed to save the lives of patients. There are lot of volunteer donors in every society. But, the main problem people face is finding such donors at the right time. To locate potential blood donors, we collected data from the Maizbhandari Shah Emdadia blood donors’ group, which consists of 700 active volunteer blood donors. This study aims to choose potential volunteer donors efficiently at the emergency time from the Maizbhandari Shah Emdadia blood donors’ group based on their past data. We have developed two models, namely descriptive and predictive models, using data mining techniques. The descriptive model analyzes data patterns and explores the donors’ behaviour. A data mining clustering algorithm was used to develop the descriptive model. The underlying factors of donors' intention to donate blood were identified and evaluated using this descriptive model. These factors were then utilized to develop the predictive model, which in turn assists to predict whether a donor will donate blood or not during an emergency. The findings of these two models will assist the clinical experts in locating potential volunteer blood donors within the shortest period and thus save valuable lives.

Author Biographies

Syed Irfanul Hoque, Managing Trustee of Darul Irfan Research Institute, Bangladesh

Managing Trustee of Darul Irfan Research Institute (DIRI) and Nayeb Sajjadah Nasheen of Maizbhandar Darbar Sharif, Fatikchari, Chattogram, Bangladesh

Md. Minhazul Abedin, Noakhali Science and Technology University, Bangladesh

Student of Department of Computer Science and Telecommunication Engineering, Noakhali Science and Technology University, Bangladesh and  Associate Member of DIRI, Chattogram, Bangladesh

Mohammad Sohel Chowdhury, Noakhali Science and Technology University, Bangladesh

Student of Department of Computer Science and Telecommunication Engineering, Noakhali Science and Technology University, Bangladesh, and Associate Member of DIRI, Chattogram, Bangladesh

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Published
2021-08-28
How to Cite
Hoque, S. I., Abedin, M. M., & Chowdhury, M. S. (2021). DELVING INTO BLOOD TRANSFUSIONS DATA THROUGH DATA MINING: A STUDY OF MAIZBHANDARI SHAH EMDADIA BLOOD DONORS GROUP TO SELECT VOLUNTEER BLOOD DONORS EFFICIENTLY. American International Journal of Multidisciplinary Scientific Research, 10(1), 1-11. https://doi.org/10.46281/aijmsr.v10i1.1308
Section
Research Paper/Theoretical Paper/Review Paper/Short Communication Paper