作者: Jenna Reps , Jonathan M. Garibaldi , Uwe Aickelin , Daniele Soria , Jack E. Gibson
DOI: 10.1109/CBMS.2013.6627871
关键词:
摘要: Side effects of prescription drugs present a serious issue. Existing algorithms that detect side generally require further analysis to confirm causality. In this paper we investigate attributes based on the Bradford-Hill causality criteria could be used by classifying algorithm definitively identify directly. We found it would advantageous use association strength, temporality and specificity criteria.