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一种从大型医学数据库中选择数据子集的方法。

A method for selecting data subsets from large medical data bases.

作者信息

Rozewski C M

机构信息

Health Policy Institute, Medical College of Wisconsin, Milwaukee 53226.

出版信息

J Med Syst. 1993 Apr;17(2):103-15. doi: 10.1007/BF00996787.

Abstract

Because of the exponential increase in health care expenditures, attention has been drawn to the cost and effectiveness of health care delivered. The use of electronic data bases as a means for assessing health care effectiveness has been advocated as powerful computer systems have become commonplace. The need to work efficiently with extremely large data bases presents difficult challenges to researchers who wish to focus on specific aspects of the data. This paper describes a computer program written to facilitate the analysis of large medical data sets by providing a straightforward way to specify and select data subsets from the aggregate data base.

摘要

由于医疗保健支出呈指数级增长,人们已将注意力投向所提供医疗保健的成本和效益。随着强大的计算机系统变得司空见惯,使用电子数据库作为评估医疗保健效益的一种手段已得到提倡。对于希望专注于数据特定方面的研究人员而言,高效处理超大型数据库的需求带来了艰巨挑战。本文描述了一个编写的计算机程序,它通过提供一种直接的方式从汇总数据库中指定和选择数据子集,来促进对大型医疗数据集的分析。

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