Data Mining and Healthcare Informatics
Abstract: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 online 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.
Document Type: Research Article
Affiliations: Department of Mathematical Statistics, and Adjuct Associate Professor, Community Medicine, West Virginia University School of Medicine, Morgantown, WV.
Publication date: May 1, 2001
The American Journal of Health Behavior seeks to improve the quality of life through multidisciplinary health efforts in fostering a better understanding of the multidimensional nature of both individuals and social systems as they relate to health behaviors.
The Journal aims to provide a comprehensive understanding of the impact of personal attributes, personality characteristics, behavior patterns, social structure, and processes on health maintenance, health restoration, and health improvement; to disseminate knowledge of holistic, multidisciplinary approaches to designing and implementing effective health programs; and to showcase health behavior analysis skills that have been proven to affect health improvement and recovery.
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