Accuracy of an automated knowledge base for identifying drug adverse reactions.

ABSTRACT:

Introduction

Drug safety researchers seek to know the degree of certainty with which a particular drug is associated with an adverse drug reaction. There are different sources of information used in pharmacovigilance to identify, evaluate, and disseminate medical product safety evidence including spontaneous reports, published peer-reviewed literature, and product labels. Automated data processing and classification using these evidence sources can greatly reduce the manual curation currently required to develop reference sets of positive and negative controls (i.e. drugs that cause adverse drug events and those that do not) to be used in drug safety research.

Methods

In this paper we explore a method for automatically aggregating disparate sources of information together in

SUBMITTER: Voss EA 

PROVIDER: S-EPMC5316295 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature