Hobbs G R
Department of Mathematical Statistics, West Virginia School of Medicine, Morgantown, USA.
Am J Health Behav. 2001 May-Jun;25(3):285-9. doi: 10.5993/ajhb.25.3.16.
To acquaint members of the Academy with a relatively recent development in the area of data exploration and statistical analysis.
A review of the concepts and methods inherent in data-mining with a special emphasis on the those methods applicable to predictive modeling.
Data-mining is demonstrated to be a useful tool for researchers in those circumstances where large amounts of information are available.
With the advent and proliferation of on-line data collection, truly massive databases are now available to health care researchers. In that situation, data-mining methods yield some unique opportunities to researchers who wish to develop prediction models and to establish associations.
使学会成员了解数据探索与统计分析领域的一项相对较新的进展。
回顾数据挖掘所固有的概念和方法，特别强调适用于预测建模的那些方法。
在有大量信息可用的情况下，数据挖掘被证明是研究人员的有用工具。
随着在线数据收集的出现和普及，医疗保健研究人员现在可以使用真正海量的数据库。在这种情况下，数据挖掘方法为希望开发预测模型并建立关联的研究人员带来了一些独特的机会。
