The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SYSTEMS
Transactions ID Number: 42-104
Full Name: Wen-Chen Lee
Position: Ph.D. Candidate
Age: ON
Sex: Male
Address: 123 University Road, Section 3, Douliou, Yunlin 64002
Country: TAIWAN
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E-mail address: g9421806@yuntech.edu.tw
Other E-mails: went.chen@msa.hinet.net
Title of the Paper: An Intelligent System for Improving Performance of Blood Recruitment and Retention in Hospital
Authors as they appear in the Paper: Wen-Chen Lee*, Bor-Wen Cheng
Email addresses of all the authors: g9421806@yuntech.edu.tw, chengbw@yuntech.edu.tw
Number of paper pages: 10
Abstract: The need for blood is growing day by day as a result of advancement in the clinical medicine and millions of lives are saved each year through blood transfusions. However, the number of voluntary blood donors is steadily decreasing in recent years. The aim of the study was to determine the disparities in blood donation behavior among the present donors and investigate their attitude towards donation to understand the problems and to improve voluntary blood donation. This work developed a system employing clustering and classification algorithms to identify blood donation intensions and shows that data mining techniques may be used to enhance the results. The results have several interesting practical applications to improve the performance of blood recruitment and retention services in hospital.
Keywords: Blood donation, Donation behavior, Blood translation, Donation intension, Bagging, Clustering and classification
EXTENSION of the file: .pdf
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