Enhancing Pharmacovigilance with Drug Reviews and Social Media
April 18, 2020 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Brent Biseda, Katie Mo
arXiv ID
2004.08731
Category
cs.CL: Computation & Language
Cross-listed
cs.IR,
cs.LG
Citations
12
Venue
arXiv.org
Last Checked
5 months ago
Abstract
This paper explores whether the use of drug reviews and social media could be leveraged as potential alternative sources for pharmacovigilance of adverse drug reactions (ADRs). We examined the performance of BERT alongside two variants that are trained on biomedical papers, BioBERT7, and clinical notes, Clinical BERT8. A variety of 8 different BERT models were fine-tuned and compared across three different tasks in order to evaluate their relative performance to one another in the ADR tasks. The tasks include sentiment classification of drug reviews, presence of ADR in twitter postings, and named entity recognition of ADRs in twitter postings. BERT demonstrates its flexibility with high performance across all three different pharmacovigilance related tasks.
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