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Adverse Drug Reaction Identification and Extraction in Social Media: A Scoping Review

Adverse Drug Reaction Identification and Extraction in Social Media: A Scoping Review

http://www.wikidata.org/entity/Q26824283

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Utility of social media and crowd-sourced data for pharmacovigilance: a scoping review protocol Combining machine learning, crowdsourcing and expert knowledge to detect chemical-induced diseases in text Vigi4Med Scraper: A Framework for Web Forum Structured Data Extraction and Semantic Representation.Aspiring to Unintended Consequences of Natural Language Processing: A Review of Recent Developments in Clinical and Consumer-Generated Text Processing.Evaluation of Facebook and Twitter Monitoring to Detect Safety Signals for Medical Products: An Analysis of Recent FDA Safety Alerts.Social Media Listening for Routine Post-Marketing Safety Surveillance.Clinicians' Reports in Electronic Health Records Versus Patients' Concerns in Social Media: A Pilot Study of Adverse Drug Reactions of Aspirin and Atorvastatin.Filtering Entities to Optimize Identification of Adverse Drug Reaction From Social Media: How Can the Number of Words Between Entities in the Messages Help?The Adverse Drug Reactions from Patient Reports in Social Media Project: Five Major Challenges to Overcome to Operationalize Analysis and Efficiently Support Pharmacovigilance Process Social Media Impact of the Food and Drug Administration's Drug Safety Communication Messaging About Zolpidem: Mixed-Methods Analysis.Detection of Cases of Noncompliance to Drug Treatment in Patient Forum Posts: Topic Model Approach.Big Data's Role in Precision Public Health.Twitter as a Tool for Health Research: A Systematic Review.Detection of Adverse Drug Reactions using Medical Named Entities on Twitter.Hybrid Semantic Analysis for Mapping Adverse Drug Reaction Mentions in Tweets to Medical Terminology.Descriptions of Adverse Drug Reactions Are Less Informative in Forums Than in the French Pharmacovigilance Database but Provide More Unexpected Reactions.Mining Patients' Narratives in Social Media for Pharmacovigilance: Adverse Effects and Misuse of Methylphenidate.Clinical Relation Extraction Toward Drug Safety Surveillance Using Electronic Health Record Narratives: Classical Learning Versus Deep Learning.Causality Patterns for Detecting Adverse Drug Reactions From Social Media: Text Mining Approach.Use of Social Media in the Assessment of Relative Effectiveness: Explorative Review With Examples From Oncology.Utility of social media and crowd-intelligence data for pharmacovigilance: a scoping review.HARNESSING SOCIAL MEDIA FOR HEALTH INFORMATION MANAGEMENT Detection of Cases of Noncompliance to Drug Treatment in Patient Forum Posts: Topic Model Approach (Preprint)Feature Engineering for Recognizing Adverse Drug Reactions from Twitter Posts

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Adverse Drug Reaction Identification and Extraction in Social Media: A Scoping Review

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2015 թուականի Յուլիսին հրատարակուած գիտական յօդուած

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Journal of Medical Internet Research

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Adverse Drug Reaction Identification and Extraction in Social Media: A Scoping Review

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Scoping studies: advancing the methodology

Using text-mining techniques in electronic patient records to identify ADRs from medicine use

Adverse drug reactions as cause of admission to hospital: prospective analysis of 18 820 patients

A pipeline to extract drug-adverse event pairs from multiple data sources

Postmarket drug surveillance without trial costs: discovery of adverse drug reactions through large-scale analysis of web search queries

Incidence of adverse drug reactions in hospitalized patients: a meta-analysis of prospective studies

Dictionary construction and identification of possible adverse drug events in Danish clinical narrative text

PatientsLikeMe: Consumer health vocabulary as a folksonomy

Drug related problems with Antiparkinsonian agents: consumer Internet reports versus published data.

The subjective experience of taking antipsychotic medication: a content analysis of Internet data.

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Cédric Bousquet

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