학술논문
Initial Experiments for Pharmacovigilance Analysis in Social Media Using Summaries of Product Characteristics...The 17th World Congress of Medical and Health Informatics, 25-30 August 2019, Lyon, France
Document Type
Academic Journal
Source
Subject
Language
English
ISSN
0926-9630
Abstract
We report initial experiments for analyzing social media through an NLP annotation tool on web posts about medications of current interests (baclofen, levothyroxine and vaccines) and summaries of product characteristics (SPCs). We conducted supervised experiments on a subset of messages annotated by experts according to positive or negative misuse; results ranged from 0.62 to 0.91 of F-score. We also annotated both SPCs and another set of posts to compare MedDRA annotations in each source. A pharmacovigilance expert checked the output and confirmed that entities not found in SCPs might express drug misuse or unknown ADRs.