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Data mining and healthcare informatics
1Department of Mathematical Statistics, West Virginia School of Medicine, Morgantown, USA. ghobbs@stat.wvu.edu
Objective:
To acquaint members of the Academy with a relatively recent development in the area of data exploration and statistical analysis.
Methods:
A review of the concepts and methods inherent in data-mining with a special emphasis on the those methods applicable to predictive modeling.
Results:
Data-mining is demonstrated to be a useful tool for researchers in those circumstances where large amounts of information are available.
Conclusions:
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.