Ontology highlight
ABSTRACT: Introduction
Statin discontinuation can have major negative health consequences. Studying the reasons for discontinuation can be challenging as traditional data collection methods have limitations. We propose an alternative approach using social media.Methods
We used natural language processing and machine learning to extract mentions of discontinuation of statin therapy from an online health forum, WebMD ( http://www.webmd.com ). We then extracted data according to themes and identified key attributes of the people posting for themselves.Results
We identified 2121 statin reviews that contained information on discontinuing at least one named statin. Sixty percent of people posting declared themselves as female and the most common age category was 55-64 years. Over h
SUBMITTER: Golder S
PROVIDER: S-EPMC9402720 | biostudies-literature | 2022 Sep
REPOSITORIES: biostudies-literature