Identifying Candidate Risk Factors for Prescription Drug Side Effects Using Causal Contrast Set Mining

11 Pages Posted: 23 Aug 2016

See all articles by Jenna Reps

Jenna Reps

University of Nottingham - School of Computer Science

Zhaoyang Guo

University of Nottingham - School of Computer Science

Haoyue Zhu

University of Nottingham - School of Computer Science

Uwe Aickelin

University of Melbourne - School of Computing and Information Systems

Date Written: May 6, 2015

Abstract

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 causal inference is limited due to the passive way in which the data are collected resulting in various forms of bias. In this paper we investigate a method that can overcome these limitations and determine causal contrast set rules efficiently from big data. In particular, we present a new methodology for the purpose of identifying risk factors that increase a patients likelihood of experiencing the known rare side effect of renal failure after ingesting aminosalicylates. The results show that the methodology was able to identify previously researched risk factors such as being prescribed diuretics and highlighted that patients with a higher than average risk of renal failure may be even more susceptible to experiencing it as a side effect after ingesting aminosalicylates.

Suggested Citation

Reps, Jenna and Guo, Zhaoyang and Zhu, Haoyue and Aickelin, Uwe, Identifying Candidate Risk Factors for Prescription Drug Side Effects Using Causal Contrast Set Mining (May 6, 2015). Available at SSRN: https://ssrn.com/abstract=2828014 or http://dx.doi.org/10.2139/ssrn.2828014

Jenna Reps (Contact Author)

University of Nottingham - School of Computer Science ( email )

Jubilee Campus
Wollaton Road
Nottingham, NG8 1BB
United Kingdom

Zhaoyang Guo

University of Nottingham - School of Computer Science ( email )

Jubilee Campus
Wollaton Road
Nottingham, NG8 1BB
United Kingdom

Haoyue Zhu

University of Nottingham - School of Computer Science

Jubilee Campus
Wollaton Road
Nottingham, NG8 1BB
United Kingdom

Uwe Aickelin

University of Melbourne - School of Computing and Information Systems ( email )

Australia

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