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Application of Data Mining Techniques to Healthcare Data

Published online by Cambridge University Press:  02 January 2015

Mary K. Obenshain
Mary K. Obenshain*
Affiliation:
North Carolina
*
Data Quality Research Institute, UNC at Chapel Hill, CB#7226, 200 Timberhill Place, Suite 201, Chapel Hill, NC 27599-7226
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Abstract

A high-level introduction to data mining as it relates to surveillance of healthcare data is presented. Data mining is compared with traditional statistics, some advantages of automated data systems are identified, and some data mining strategies and algorithms are described. A concrete example illustrates steps involved in the data mining process, and three successful data mining applications in the healthcare arena are described.

Information

Type
Statistics for Hospital Epidemiology
Information
Infection Control & Hospital Epidemiology , Volume 25 , Issue 8 , August 2004 , pp. 690 - 695
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2004

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