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Adverse drug reactions (ADRs) may occur following a single dose or prolonged administration of a drug or result from the combination of two or more drugs. Given the restrictions of the traditional methods like clinical trials, it's difficult to detect the ADRs in a timely manner. Many countries have built spontaneous adverse drug event reporting systems, which provide a large amount of adverse drug event reports for research purpose. In this paper, we utilize the association rule mining to recon
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