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Evidence in pharmacovigilance: extracting adverse drug reactions articles from MEDLINE to link them to case databases
- 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.
- Subjects :
- Electronic Data Processing
Evidence-Based Medicine
MEDLINE
MESH: Adverse Drug Reaction Reporting Systems
Information Storage and Retrieval
MESH: Information Storage and Retrieval
MESH: Algorithms
United States
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
MESH: France
MESH: United States
Adverse Drug Reaction Reporting Systems
MESH: MEDLINE
France
MESH: Electronic Data Processing
Algorithms
MESH: Evidence-Based Medicine
Subjects
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