Facilitating Interactive ADR Signal Detection and Analysis with Data Cube Technology
نویسندگان
چکیده
Adverse Drug Reaction (ADR) is one of the most important issues on drug safety assessment. In the past few years, many approaches that utilizes statistical and data mining methods for detecting ADRs has been proposed. However, most of these stand-alone methods are tedious and inconvenient to users and the processes of exploration are timeconsuming. In a previous work, we have proposed an interactive system platform for ADR detection, which by integrating the ADR data warehouse and innovative frequent pattern mining techniques, can support multidimensional analysis of ADRs. In this paper, we enhance the performance of the platform further. Specifically, a data cube-based method for facilitating interactive detection of suspected ADR signals is proposed.
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