Ontology highlight
ABSTRACT: Background
Adverse drug reactions (ADRs) affect the health of hundreds of thousands of individuals annually in the United States, with associated costs of hundreds of billions of dollars. The monitoring and analysis of the severity of ADRs is limited by the current qualitative and categorical systems of severity classification. Previous efforts have generated quantitative estimates for a subset of ADRs but were limited in scope because of the time and costs associated with the efforts.Objective
The aim of this study is to increase the number of ADRs for which there are quantitative severity estimates while improving the quality of these severity estimates.Methods
We present a semisupervised approach that estimates ADR severity by using social media word embeddings t
SUBMITTER: Lavertu A
PROVIDER: S-EPMC8569532 | biostudies-literature | 2021 Oct
REPOSITORIES: biostudies-literature