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cs.LG2013
Comparing Data-mining Algorithms Developed for Longitudinal Observational Databases
Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin +3
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 detect…
cs.LG2013
Discovering Sequential Patterns in a UK General Practice Database
Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin +3
The wealth of computerised medical information becoming readily available presents the opportunity to examine patterns of illnesses, therapies and responses. These patterns may be…
cs.CE2013
Investigating the Detection of Adverse Drug Events in a UK General Practice Electronic Health-Care Database
Jenna Reps, Jan Feyereisl, Jonathan M. Garibaldi +3
Data-mining techniques have frequently been developed for Spontaneous reporting databases. These techniques aim to find adverse drug events accurately and efficiently. Spontaneous…