Drug exposure side effects from mining pregnancy data
Yu Chen, Lars Henning Pedersen, Wesley W. Chu, Jørn Olsen · ACM SIGKDD Explorations Newsletter · 2007
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.