Exploring Blood Donors’ Status Through Clustering: A Method to Improve the Quality of Services in Blood Transfusion Centers

Authors

  • Maryam Ashoori1 1- Dept. of Information Technology Engineering, School of Technical and Engineering, Higher Educational Complex of Saravan, Saravan, Iran.
  • Shahriar Mohammadi2 2- Dept. of Information Technology Engineering, School of Industrial Engineering, K.N. Toosi University of Technology, Tehran, Iran.
  • Hoda Sadat Hossieny Eivary3 3- Dept. of Computer Engineering, Azad University, Ferdos, Iran.

DOI:

https://doi.org/10.22100/jkh.v11i4.1525

Keywords:

Blood donors, Data mining, Decision tree, Clustering.

Abstract

Introduction: Urgent need for blood and lack of an alternative for it necessitates the presence of a model to assist doctors in providing the proper services for the donors and also the right management of blood transfusion centers. The present study is aimed at determining blood donors’ status.

Methods: Cross-sectional survey was applied in the present study through census. The population included the data extracted from blood transfusion center of Birjand from Khordad to Shahrivar 1392 which was provided as an Excel file by the direct visit of the researcher from the blood transfusion organization. In the present study, first, two-step clustering and then C50, C&R TREE, CHAID, and QUEST algorithms were executed to obtain the best ratio among different fields. Analysis was performed using Clementine12.0 software.

Results: The obtained accuracy for executing C50, C&R Tree, CHAID, and QUEST equals 0.9998, 0.9960, 0.9930, and 0.8913, respectively. The results of indices including sensitivity, Specificity, accuracy, precision, FM, GM, FPR, FNR, and ER for C50 are indicators of better performance of this algorithm compared to the other ones. Important variables in modeling are blood pressure label, blood donation status and temperature.

Conclusion: The proposed model helps us in predicting faster and more precise status of blood donation and also the proper management of the blood transfusion centers and it canbe and effive step for efficient usage of blood donation and decreasing the blood maintenance costs.

Author Biographies

  • Maryam Ashoori1, 1- Dept. of Information Technology Engineering, School of Technical and Engineering, Higher Educational Complex of Saravan, Saravan, Iran.
    گروه مهندسی فناوری اطلاعات- مربی
  • Shahriar Mohammadi2, 2- Dept. of Information Technology Engineering, School of Industrial Engineering, K.N. Toosi University of Technology, Tehran, Iran.
    گروه مهندسی فناوری اطلاعات- دانشکده مهندسی صنایع

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Published

2017-02-05

Issue

Section

Original Article(s)

How to Cite

Exploring Blood Donors’ Status Through Clustering: A Method to Improve the Quality of Services in Blood Transfusion Centers. (2017). Knowledge and Health in Basic Medical Sciences, 11(4), page:73-82. https://doi.org/10.22100/jkh.v11i4.1525

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