Early Detection of Adverse Drug Reactions in Social Health Networks: A Natural Language Processing Pipeline for Signal Detection.

ABSTRACT:

Background

Adverse drug reactions (ADRs) occur in nearly all patients on chemotherapy, causing morbidity and therapy disruptions. Detection of such ADRs is limited in clinical trials, which are underpowered to detect rare events. Early recognition of ADRs in the postmarketing phase could substantially reduce morbidity and decrease societal costs. Internet community health forums provide a mechanism for individuals to discuss real-time health concerns and can enable computational detection of ADRs.

Objective

The goal of this study is to identify cutaneous ADR signals in social health networks and compare the frequency and timing of these ADRs to clinical reports in the literature.

Methods

We present a natural language processing-based, ADR signal-generation pipeline ba

SUBMITTER: Nikfarjam A 

PROVIDER: S-EPMC6684218 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature