Survey on Effective Signaling of Adverse Drug Reactions in Health Database
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L. Cao, C. Zhang, Y. Zhao, P.S. Yu, and G. Williams, “DDDM2007: Domain Driven Data Mining,” ACM SIGKDD, vol. 9, no. 2, pp. 84-86, 2007.
The ICH Expert Working Group, “Post-Approval Safety Data Management: Definitions and Standards for Expedited Reporting,” Nov. 2003.
Huidong Jin, Jie Chen, Hongxing He, Graham Williams, Chris Kelman, Christine M. O’Keefe, "Mining Unexpected Temporal Associations: Applications in Detecting Adverse Drug Reactions," data mining journal IEEE Transactions on Knowledge and Data Engineering, March 6, 2005.
G.I. Webb, “Efficient Search for Association Rules,” Proc. ACM SIGKDD Int’l Conf. Knowledge Discovery and Data Mining (KDD ’00), pp. 99-107, 2000.
H. Jin, J. Chen, H. He, C. Kelman, D. McAullay, and C.M. O’Keefe, “Signalling Potential Adverse Drug Reactions from Multiple Administrative Health Data,” Proc. Mining Multiple Information Sources (MMIS ’08), pp. 9-17, Aug. 2008.
Geoffrey I. Webb, “OPUS: An Efficient Admissible Algorithm for Unordered Search,” webb@deakin.edu.au.1993.
H. Jin, J. Chen, C. Kelman, H. He, D.McAullay, C.M. O’Keefe,” Mining Unexpected Associations for Signalling Potential Adverse Drug Reactions from Administrative Health Databases,” PAKDD 2006; pp. 867-876, 2006.
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