Data mining as a tool for research and knowledge development in nursing

被引：40

作者：

Berger, AM ^{[1
]}

Berger, CR

机构：

[1] So New Hampshire Med Ctr, Nashua, NH 03061 USA

[2] Oracle Corp, Burlington, MA USA

[3] Boston Coll, Chestnut Hill, MA 02167 USA

[4] William F Connell Sch Nursing, Chestnut Hill, MA USA

来源：

CIN-COMPUTERS INFORMATICS NURSING | 2004年 / 22卷 / 03期

关键词：

data mining; knowledge discovery; nursing; nursing research;

D O I：

10.1097/00024665-200405000-00006

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The ability to collect and store data has grown at a dramatic rate in all disciplines over the past two decades. Healthcare has been no exception. The shift toward evidence-based practice and outcomes research presents significant opportunities and challenges to extract meaningful information from massive amounts of clinical data to transform it into the best available knowledge to guide nursing practice. Data mining, a step in the process of Knowledge Discovery in Databases, is a method of unearthing information from large data sets. Built upon statistical analysis, artificial intelligence, and machine learning technologies, data mining can analyze massive amounts of data and provide useful and interesting information about patterns and relationships that exist within the data that might otherwise be missed. As domain experts, nurse researchers are in ideal positions to use this proven technology to transform the information that is available in existing data repositories into useful and understandable knowledge to guide nursing practice and for active interdisciplinary collaboration and research.

引用

页码：123 / 131

页数：9

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