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医学数据库优化利用的解决方案。

Solutions for medical databases optimal exploitation.

作者信息

Branescu I, Purcarea V L, Dobrescu R

机构信息

Faculty of Automatic Control and Computers, Polytechnic University of Bucharest.

Department of Healthcare Marketing, Technology and Medical Devices, Medical Informatics and Biostatistics, "Carol Davila" University of Medicine and Pharmacy, Bucharest.

出版信息

J Med Life. 2014 Mar 15;7(1):109-18. Epub 2014 Mar 25.

Abstract

The paper discusses the methods to apply OLAP techniques for multidimensional databases that leverage the existing, performance-enhancing technique, known as practical pre-aggregation, by making this technique relevant to a much wider range of medical applications, as a logistic support to the data warehousing techniques. The transformations have practically low computational complexity and they may be implemented using standard relational database technology. The paper also describes how to integrate the transformed hierarchies in current OLAP systems, transparently to the user and proposes a flexible, "multimodel" federated system for extending OLAP querying to external object databases.

摘要

本文讨论了将OLAP技术应用于多维数据库的方法,该方法利用现有的性能增强技术,即实际预聚合,通过使该技术与更广泛的医学应用相关联,作为数据仓库技术的逻辑支持。这些转换实际上具有较低的计算复杂度,并且可以使用标准关系数据库技术来实现。本文还描述了如何在当前的OLAP系统中透明地将转换后的层次结构集成到用户中,并提出了一种灵活的“多模型”联邦系统,用于将OLAP查询扩展到外部对象数据库。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f93e/3956088/301186befc64/JMedLife-07-109-g001.jpg

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