Journal article

Refining adverse drug reaction signals by incorporating interaction variables identified using emergent pattern mining

Jenna Reps, Uwe Aickelin, Richard Hubbard

Computers in Biology and Medicine | Elsevier | Published : 2016


Purpose: To develop a framework for identifying and incorporating candidate confounding interaction terms into a regularised cox regression analysis to refine adverse drug reaction signals obtained via longitudinal observational data. Methods: We considered six drug families that are commonly associated with myocardial infarction in observational healthcare data, but where the causal relationship ground truth is known (adverse drug reaction or not). We applied emergent pattern mining to find itemsets of drugs and medical events that are associated with the development of myocardial infarction. These are the candidate confounding interaction terms. We then implemented a cohort study design ..

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University of Melbourne Researchers