DRAW — Drug Review Analysis Work
This blog is written and maintained by students in the Professional Master’s Program in the School of Computing Science at Simon Fraser University as part of their course credit. To learn more about this unique program, please visit {sfu.ca/computing/pmp}.
Motivation and Background
The safety of a medical product is evaluated through pre-defined protocols and clinical trials. These clinical studies are carried under regulated conditions on a limited number of aspects and within a specified time constraint. In this process, adverse side effects and potential risks associated with drugs may not be detected before the drug is launched in the market. A preeminent solution to this problem can be achieved by looking at post-marketing drug surveillance methods such as drug review analysis to monitor drug-related issues. Text mining on drug reviews will be useful not only for patients to decide which drug to take, but also for pharmacy companies and clinicians to improve consumer safety by assisting in the reduction of medication errors and obtain valuable summaries of public opinion.
Related Work:
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