Ontology highlight
ABSTRACT:
SUBMITTER: Letinier L
PROVIDER: S-EPMC8359992 | biostudies-literature | 2021 Aug
REPOSITORIES: biostudies-literature
Létinier Louis L Jouganous Julien J Benkebil Mehdi M Bel-Létoile Alicia A Goehrs Clément C Singier Allison A Rouby Franck F Lacroix Clémence C Miremont Ghada G Micallef Joëlle J Salvo Francesco F Pariente Antoine A
Clinical pharmacology and therapeutics 20210508 2
Adverse drug reaction (ADR) reporting is a major component of drug safety monitoring; its input will, however, only be optimized if systems can manage to deal with its tremendous flow of information, based primarily on unstructured text fields. The aim of this study was to develop an automated system allowing to code ADRs from patient reports. Our system was based on a knowledge base about drugs, enriched by supervised machine learning (ML) models trained on patients reporting data. To train our ...[more]