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临床医生的数据挖掘。

Data mining by clinicians.

作者信息

Nigrin D J, Kohane I S

机构信息

Informatics Program, Children's Hospital, Boston, USA.

出版信息

Proc AMIA Symp. 1998:957-61.

Abstract

Clinical databases are becoming commonplace in healthcare environments. However, clinicians have been unable to readily explore these information sources, because currently available data retrieval tools require substantial technical skill, as well as knowledge of the underlying database structures. To address this, we have defined a group of "atomic" queries, including both population-based and temporal predicates, to enable the extraction of clinically meaningful information form these databases. DXtractor is an application that incorporates this functionality, and allows clinicians to simply combine these atomic queries. In doing so, arbitrarily complex data retrieval and exploration becomes possible for the non-programming clinician.

摘要

临床数据库在医疗环境中变得越来越普遍。然而,临床医生一直无法轻松地探索这些信息源,因为目前可用的数据检索工具需要大量的技术技能以及对底层数据库结构的了解。为了解决这个问题,我们定义了一组“原子”查询,包括基于人群和时间的谓词,以便能够从这些数据库中提取具有临床意义的信息。DXtractor是一个包含此功能的应用程序,它允许临床医生简单地组合这些原子查询。这样一来,对于非编程的临床医生来说,任意复杂的数据检索和探索都成为可能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9912/2232327/5f15080b31ed/procamiasymp00005-0991-a.jpg

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