Your browser doesn't support javascript.
loading
Accuracy of an automated knowledge base for identifying drug adverse reactions.
Voss, E A; Boyce, R D; Ryan, P B; van der Lei, J; Rijnbeek, P R; Schuemie, M J.
Affiliation
  • Voss EA; Epidemiology Analytics, Janssen Research & Development, LLC, Raritan, NJ, United States; Erasmus University Medical Center, Rotterdam, Netherlands; Observational Health Data Sciences and Informatics (OHDSI), New York, NY, United States. Electronic address: evoss3@its.jnj.com.
  • Boyce RD; University of Pittsburgh, Pittsburgh, PA, United States; Observational Health Data Sciences and Informatics (OHDSI), New York, NY, United States.
  • Ryan PB; Epidemiology Analytics, Janssen Research & Development, LLC, Raritan, NJ, United States; Columbia University, New York, NY, United States; Observational Health Data Sciences and Informatics (OHDSI), New York, NY, United States.
  • van der Lei J; Erasmus University Medical Center, Rotterdam, Netherlands; Observational Health Data Sciences and Informatics (OHDSI), New York, NY, United States.
  • Rijnbeek PR; Erasmus University Medical Center, Rotterdam, Netherlands; Observational Health Data Sciences and Informatics (OHDSI), New York, NY, United States.
  • Schuemie MJ; Epidemiology Analytics, Janssen Research & Development, LLC, Raritan, NJ, United States; Observational Health Data Sciences and Informatics (OHDSI), New York, NY, United States.
J Biomed Inform ; 66: 72-81, 2017 02.
Article in En | MEDLINE | ID: mdl-27993747
Subject(s)
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Electronic Data Processing / Drug-Related Side Effects and Adverse Reactions / Knowledge Bases / Pharmacovigilance Type of study: Prognostic_studies Limits: Humans Language: En Journal: J Biomed Inform Journal subject: INFORMATICA MEDICA Year: 2017 Document type: Article Country of publication:
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Electronic Data Processing / Drug-Related Side Effects and Adverse Reactions / Knowledge Bases / Pharmacovigilance Type of study: Prognostic_studies Limits: Humans Language: En Journal: J Biomed Inform Journal subject: INFORMATICA MEDICA Year: 2017 Document type: Article Country of publication: