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pdxrlang meetup: Text mining & association rule mining in R to enhance public health surveillance

WeWork Custom House
220 Northwest 8th Avenue
Portland, OR 97209, US (map)

Doors open about 615 - DON'T SHOW UP BEFORE 615 - we'll start at 630.

Enter on the 8th Ave. entrance where there's gates - The gates may be locked, but a security person will let you in. If you have any trouble message me in the meetup app, or on Twitter at @pdxrlang or @sckottie



Speaker: Matt Laidler

Abstract: R can be a powerful tool for the process of systematically tracking health-related outcomes (i.e. surveillance) identified from administrative data sources. Tracking health outcomes in populations often relies on coded administrative data to standardize metrics and simplify processes. This may have the effect of overlooking useful information described in free text data, but due to data volume/size, may not be practical to process outside of text mining methods. This presentation will describe a use case of text mining and association rule mining in R for tracking health outcomes.