Comparing data-mining algorithms developed for longitudinal observational databases

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Comparing data-mining algorithms developed for longitudinal observational databases

Longitudinal observational databases have become a recent interest in the post marketing drug surveillance community due to their ability of presenting a new perspective for detecting negative side effects. Algorithms mining longitudinal observation databases are not restricted by many of the limit...

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Bibliographic Details
Main Authors:	Reps, Jenna, Garibaldi, Jonathan M., Aickelin, Uwe, Soria, Daniele, Gibson, Jack E., Hubbard, Richard B.
Format:	Conference or Workshop Item
Published:	2012
Online Access:	https://eprints.nottingham.ac.uk/2036/

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