title: The EU-ADR Web Platform: delivering advanced pharmacovigilance tools.
abstract: OBJECTIVE
  Pharmacovigilance methods have advanced greatly during the last decades, making post-market drug assessment an essential drug evaluation component. These methods mainly rely on the use of spontaneous reporting systems and health information databases to collect expertise from huge amounts of real-world reports. The EU-ADR Web Platform was built to further facilitate accessing, monitoring and exploring these data, enabling an in-depth analysis of adverse drug reactions risks.
  
  
  METHODS
  The EU-ADR Web Platform exploits the wealth of data collected within a large-scale European initiative, the EU-ADR project. Millions of electronic health records, provided by national health agencies, are mined for specific drug events, which are correlated with literature, protein and pathway data, resulting in a rich drug-event dataset. Next, advanced distributed computing methods are tailored to coordinate the execution of data-mining and statistical analysis tasks. This permits obtaining a ranked drug-event list, removing spurious entries and highlighting relationships with high risk potential.
  
  
  RESULTS
  The EU-ADR Web Platform is an open workspace for the integrated analysis of pharmacovigilance datasets. Using this software, researchers can access a variety of tools provided by distinct partners in a single centralized environment. Besides performing standalone drug-event assessments, they can also control the pipeline for an improved batch analysis of custom datasets. Drug-event pairs can be substantiated and statistically analysed within the platform's innovative working environment.
  
  
  CONCLUSIONS
  A pioneering workspace that helps in explaining the biological path of adverse drug reactions was developed within the EU-ADR project consortium. This tool, targeted at the pharmacovigilance community, is available online at https://bioinformatics.ua.pt/euadr/.
authors.affiliation: DETI/IEETA, University of Aveiro, Aveiro, Portugal. jlo@ua.pt
authors.forename: José Luis
authors.initials: JL
authors.lastname: Oliveira
authors.forename: Pedro
authors.initials: P
authors.lastname: Lopes
authors.forename: Tiago
authors.initials: T
authors.lastname: Nunes
authors.forename: David
authors.initials: D
authors.lastname: Campos
authors.forename: Scott
authors.initials: S
authors.lastname: Boyer
authors.forename: Ernst
authors.initials: E
authors.lastname: Ahlberg
authors.forename: Erik M
authors.initials: EM
authors.lastname: van Mulligen
authors.forename: Jan A
authors.initials: JA
authors.lastname: Kors
authors.forename: Bharat
authors.initials: B
authors.lastname: Singh
authors.forename: Laura I
authors.initials: LI
authors.lastname: Furlong
authors.forename: Ferran
authors.initials: F
authors.lastname: Sanz
authors.forename: Anna
authors.initials: A
authors.lastname: Bauer-Mehren
authors.forename: Maria C
authors.initials: MC
authors.lastname: Carrascosa
authors.forename: Jordi
authors.initials: J
authors.lastname: Mestres
authors.forename: Paul
authors.initials: P
authors.lastname: Avillach
authors.forename: Gayo
authors.initials: G
authors.lastname: Diallo
authors.forename: Carlos
authors.initials: C
authors.lastname: Díaz Acedo
authors.forename: Johan
authors.initials: J
authors.lastname: van der Lei
mesh_terms: D016907:Adverse Drug Reaction Reporting Systems / Q000458:organization & administration* / Q000706:statistics & numerical data; D057225:Data Mining / Q000379:methods; D016208:Databases, Factual / Q000706:statistics & numerical data; D064420:Drug-Related Side Effects and Adverse Reactions; D005060:Europe; D006801:Humans; D020407:Internet; D060735:Pharmacovigilance; D012984:Software