论文标题
通过药物评论和社交媒体增强药物保护
Enhancing Pharmacovigilance with Drug Reviews and Social Media
论文作者
论文摘要
本文探讨了是否可以利用药物评论和社交媒体作为不良药物反应（ADR）药物宣传的潜在替代来源。我们研究了BERT的性能以及两种经过生物医学论文培训的变体，Biobert7和Clinical Notes，Clinical Bert8。各种不同的BERT模型进行了微调，并在三个不同的任务中进行了比较，以便在ADR任务中评估其相对性能。这些任务包括对药物审查的情感分类，在Twitter帖子中存在ADR以及Twitter帖子中ADR的命名实体识别。伯特（Bert）在所有三种不同的药物守护措施中表现出了高性能的灵活性。
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.
