Identification of Adverse Drug Event-Related Japanese Articles: Natural Language Processing Analysis.

ABSTRACT:

Background

Medical articles covering adverse drug events (ADEs) are systematically reported by pharmaceutical companies for drug safety information purposes. Although policies governing reporting to regulatory bodies vary among countries and regions, all medical article reporting may be categorized as precision or recall based. Recall-based reporting, which is implemented in Japan, requires the reporting of any possible ADE. Therefore, recall-based reporting can introduce numerous false negatives or substantial amounts of noise, a problem that is difficult to address using limited manual labor.

Objective

Our aim was to develop an automated system that could identify ADE-related medical articles, support recall-based reporting, and alleviate manual labor in Japanese pharmaceu

SUBMITTER: Ujiie S 

PROVIDER: S-EPMC7732716 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature