Drug exposure side effects from mining pregnancy data

Authors:
Yu Chen;Lars Henning Pedersen;Wesley W. Chu;Jorn Olsen
Affiliations:
University of California, Los Angeles;University of Aarhus, Denmark;University of California, Los Angeles;University of Aarhus, Denmark and University of California, Los Angeles
Venue:
ACM SIGKDD Explorations Newsletter - Special issue on data mining for health informatics
Year:
2007

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Abstract

This paper presents an interdisciplinary collaborative research project between the Epidemiology Department and the Computer Science Department for using data mining technique to analyze data from pregnant women. Specifically, the authors use association rule mining approach to derive possible side effects due to exposure to multiple drugs at different duration of the pregnancy. The derived temporal sequential rules discover new information that would not be detected by the traditional analysis method that is currently used in pharmaco-epidemiology.