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.
|Number of pages||2|
|Journal||Proceedings of the IEEE Symposium on Computer-Based Medical Systems|
|Publication status||Published - 2013|
ASJC Scopus subject areas
- Radiology Nuclear Medicine and imaging
- Computer Science Applications