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Attributes for causal inference in electronic healthcare databases
2013
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems
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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.
doi:10.1109/cbms.2013.6627871
dblp:conf/cbms/RepsGASGH13
fatcat:ajkvf6owx5hxxhmcwuxs2m3hpy