Reliability of Drug-Drug Interaction Measurement on Real-Word Data: The ReMIAMes Project - Université de Rennes Accéder directement au contenu
Article Dans Une Revue Studies in Health Technology and Informatics Année : 2022

Reliability of Drug-Drug Interaction Measurement on Real-Word Data: The ReMIAMes Project

Résumé

The ReMIAMes project proposes a methodological framework to provide a reliable and reproducible measurement of the frequency of drug-drug interactions (DDI) when performed on real-world data. This framework relies on (i) a fine-grained and contextualized definition of DDIs, (ii) a shared minimum information model to select the appropriate data for the correct interpretation of potential DDIs, (iii) an ontology-based inference module able to handle missing data to classify prescription lines with potential DDIs, (iv) a report generator giving the value of the measurement and explanations when potential false positive are detected due to a lack of available data. All the tools developed are intended to be publicly shared under open license.
Fichier principal
Vignette du fichier
SHTI-294-SHTI220425.pdf (131.06 Ko) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-03689916 , version 1 (07-06-2022)

Licence

Paternité - Pas d'utilisation commerciale

Identifiants

Citer

Catherine Duclos, Nicolas Griffon, Christel Daniel, Guillaume Bouzillé, Denis Delamarre, et al.. Reliability of Drug-Drug Interaction Measurement on Real-Word Data: The ReMIAMes Project. Studies in Health Technology and Informatics, 2022, 294, pp.151-152. ⟨10.3233/SHTI220425⟩. ⟨hal-03689916⟩
99 Consultations
51 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More