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PurposeIn post‐marketing drug safety surveillance, data mining can potentially detect rare but serious adverse events. Assessing an entire collection of drug–event pairs is traditionally performed on a predefined level of granularity. It is unknown a priori whether a drug causes a very specific or a set of related adverse events, such as mitral valve disorders, all valve disorders, or different types...
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