近年來電腦等高科技的快速成長，進而促進資訊化的過程。資料庫的蓬勃發展，使得資料大量累積，長久之下，卻造成資料過多，資訊不足的嚴重問題。因此資料庫內的知識探索議題也隨之興起，而資料採礦（Data Mining）的過程，更是其中重要的一環。 相同的，預防醫學資訊的發展，流行病學資料庫中亦累積了大量關於死亡統計資料，而這些資料中，隱藏可能存在的知識，能加強我們對疾病進展的瞭解。若將資料採礦的概念應用於流行病學領域，相信必能相輔相成。 本研究的重點在於結合統計軟體 STATISTICA，以Visual Basic 6.0語言開發一個簡易的資料採礦系統之使用者介面，並將資料採礦技術應用於死亡統計資料中。系統中的挖掘方法主要採用敘述統計、交叉分析與多變量分析中的群集分析與區別分析，根據行政院衛生署統計室所提供之民國八十三年至八十八年台灣地區人口死亡原因資料，來發現隱藏在資料中的趨勢與模式。 / For the past decade the development in computer technology has advanced so rapidly that it brings forth the enormous supply of data information. As time passes by the data information has been increasingly accumulated yet little can be inferred from the data thus resulting a loss of information which might be of significant. Bearing with the existence of such issue, this research presents the process of data mining as one of the solution. Similarly, the data base in the field of medical science may have contained a large amount of information. If one can appropriately apply the application of data mining into this huge database then we may be able to extract some valuable findings. The focus of this research is to develop a user friendly operating system using Visual Basic 6.0 and integrates the statistical software-STATISTICA into the operating system. The research applies the application of data mining on the death data provided by Statistics Office, Department of Health from 1994 to 1999. The methods used in this application are descriptive statistics, cross tabulation, cluster analysis, and discriminant analysis of multivariate analysis in an attempt to find out if there is any pattern in the cause of death.