Conference Proceedings
Attributes for causal inference in electronic healthcare databases
J Reps, JM Garibaldi, U Aickelin, D Soria, JE Gibson, RB Hubbard
Proceedings of CBMS 2013 26th IEEE International Symposium on Computer Based Medical Systems | IEEE | Published : 2013
Abstract
Side effects of prescription drugs present a serious issue. Existing algorithms that detect side effects generally require further analysis to confirm causality. In this paper we investigate attributes based on the Bradford-Hill causality criteria that could be used by a classifying algorithm to definitively identify side effects directly. We found that it would be advantageous to use attributes based on the association strength, temporality and specificity criteria. © 2013 IEEE.