74 citations · 118 across the 15 of their papers we have counts for
3 papers · 2 filters
Supervised Adverse Drug Reaction Signalling Framework Imitating Bradford Hill's Causality Considerations
Jenna Marie Reps, Jonathan M. Garibaldi, Uwe Aickelin +2
Big longitudinal observational medical data potentially hold a wealth of information and have been recognised as potential sources for gaining new drug safety knowledge. Unfortunat…
Refining adverse drug reaction signals by incorporating interaction variables identified using emergent pattern mining
Jenna M. Reps, Uwe Aickelin, Richard B. Hubbard
Purpose: To develop a framework for identifying and incorporating candidate confounding interaction terms into a regularised cox regression analysis to refine adverse drug reaction…
Identifying Candidate Risk Factors for Prescription Drug Side Effects using Causal Contrast Set Mining
Jenna Reps, Zhaoyang Guo, Haoyue Zhu +1
Big longitudinal observational databases present the opportunity to extract new knowledge in a cost effective manner. Unfortunately, the ability of these databases to be used for c…