Results on mining NHANES data: A case study in evidence-based medicine

Authors:
Jun Won Lee;Christophe Giraud-Carrier
Affiliations:
Korea Institute of Science and Technology, Biomedical Research Institute, Center for Bionics, Seoul 136-791, Republic of Korea;Brigham Young University, Department of Computer Science, Provo, UT 84602, USA
Venue:
Computers in Biology and Medicine
Year:
2013

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Abstract

The National Health and Nutrition Examination Survey (NHANES), administered annually by the National Center for Health Statistics, is designed to assess the general health and nutritional status of adults and children in the United States. Given to several thousands of individuals, the extent of this survey is very broad, covering demographic, laboratory and examination information, as well as responses to a fairly comprehensive health questionnaire. In this paper, we adapt and extend association rule mining and clustering algorithms to extract useful knowledge regarding diabetes and high blood pressure from the 1999-2008 survey results, thus demonstrating how data mining techniques may be used to support evidence-based medicine.