Adverse Drug Reaction Detection in Social Media by DeepLearning Methods

摘要

Health-related studies have been recently at the heart attention of the media. Social media, such asTwitter, has become a valuable online tool to describe the early detection of various adverse drug reactions (ADRs).Different medications have adverse effects on various cells and tissues, sometimes more than one cell populationwould be adversely affected. These types of side effect are occasionally associated with the direct or indirect influenceof prescribed drugs but do not have general unfavorable mutagenic consequences on patients. This study aimed todemonstrate a quick and accurate method to collect and classify information based on the distribution of approved dataon Twitter.