Unknown

Dataset Information

Towards early detection of adverse drug reactions: combining pre-clinical drug structures and post-market safety reports.


ABSTRACT:

Background

Adverse drug reaction (ADR) is a major burden for patients and healthcare industry. Early and accurate detection of potential ADRs can help to improve drug safety and reduce financial costs. Post-market spontaneous reports of ADRs remain a cornerstone of pharmacovigilance and a series of drug safety signal detection methods play an important role in providing drug safety insights. However, existing methods require sufficient case reports to generate signals, limiting their usages for newly approved drugs with few (or even no) reports.

Methods

In this study, we propose a label propagation framework to enhance drug safety signals by combining drug chemical structures with FDA Adverse Event Reporting System (FAERS). First, we compute original drug safety signals via

SUBMITTER: Liu R 

PROVIDER: S-EPMC6918608 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature