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Evidence in pharmacovigilance: extracting adverse drug reactions articles from MEDLINE to link them to case databases

Authors :
Nicolas, Garcelon
Fleur, Mougin
Cédric, Bousquet
Anita, Burgun
Modélisation Conceptuelle des Connaissances Biomédicales
Université de Rennes (UR)
Laboratoire de Santé Publique et Informatique Médicale (SPIM)
Institut National de la Santé et de la Recherche Médicale (INSERM)
Université de Rennes 1 (UR1)
Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)
Source :
Studies in Health Technology and Informatics, Studies in Health Technology and Informatics, 2006, 124, pp.528-33, Studies in Health Technology and Informatics, IOS Press, 2006, 124, pp.528-33
Publication Year :
2006
Publisher :
HAL CCSD, 2006.

Abstract

International audience; Literature, specifically MEDLINE, is among the main sources of information used to detect whether a drug may be responsible for Adverse Drug Reactions cases. The aim of our work is to automate the search of publications that correspond to a given Adverse Drug Reactions case: (i) by defining a general pattern for the queries used to search MEDLINE and (ii) by determining the threshold number of publications capable to confirm or infirm the Adverse Drug Reaction. We applied our algorithm to a set of 620 cases from a French pharmacovigilance database. We obtained a precision of 93%, recall 70%. We determined a threshold of 3 publications to confirm an Adverse Drug Reaction case.

Details

Language :
English
ISSN :
09269630 and 18798365
Database :
OpenAIRE
Journal :
Studies in Health Technology and Informatics, Studies in Health Technology and Informatics, 2006, 124, pp.528-33, Studies in Health Technology and Informatics, IOS Press, 2006, 124, pp.528-33
Accession number :
edsair.pmid.dedup....d3b70a95bd35d95c99697a8ed866bb5a