An Intelligent System for Improving Performance of Blood Donation

一個用來提升捐血績效的智慧型系統設計

李文成(Wen-Chen Lee)；鄭博文(Bor-Wen Cheng)

捐血 ； 捐贈意願 ； 分群與分類 ； blood donation ； donation intention ； clustering and classification

品質學報

18卷2期（2011 / 04 / 01）

173 - 185

英文

目前在醫療上血液的需求日益增加，然而，近年來志願捐血者卻日漸減少。此研究開發一套採用分群與分類演算法之系統，利用現有的捐血歷史資料去分析捐血者意願，以提高志願捐血者之捐血頻率。經由分群分析，最佳的分群結果是四群，其中最高的一群捐血率為45.8%。另外在分類的結果方面，最好的準確率為0.783。本研究所提出的系統的確可有效分析捐血意圖與行為，可提供相關機構作為提升捐血服務品質之策略參考應用。

The need for blood is growing day by day as a result of advancement in the clinical medicine, however, the number of voluntary blood donors is steadily decreasing in recent years. This work developed a system employing clustering and classification algorithms to determine the disparities in blood donation behavior among the present donors and predict their intentions towards donation to understand the problems and to increase voluntary blood donation frequency. After clustering analysis, the dataset was separated into four groups and the highest donation rate of group is 45.8%. Among these methods, the best accuracy is 0.783. The proposed system provided the blood center management a more understanding in blood donors' intentions and behaviors. The results are to be used as strategic references for the purpose of enhancing service quality to blood donors and blood supply quality.

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