Related Experiment Videos
Modeling, building and evaluating an ontology for the automatic characterization of adverse drug effects during
Catherine Duclos1, Lina F Soualmia, Sonia Krivine
1Laboratoire d'Informatique Médicale et Bioinformatique, Université Paris 13, Bobigny, France. catherine.duclos@avc.aphp.fr
Background:
The characterization of spontaneous reported cases is fundamental for pharmacovigilance. This task is time consuming and its reproducibility is low.
Objective:
To develop a system founded on an ontology that automatically instantiates spontaneous reported cases as "known" adverse drug effects (ADE) only if the reported ADEs are described in drug compendia.
Methods:
A simple ontology of drugs and their related adverse effects represented in description logics was developed from a drug database. Manual evaluation was carried out on 378 spontaneous reported cases instantiated as "known ADE of a chemical class". The initial manual characterization was reviewed by a pharmacovigilance expert to validate the generated automatic characterization.
Results:
The ontology is composed by 57,04 concepts and 5 relations. It was successfully validated thanks to Pellet reasoner and it contains neither inconsistencies nor cycles. In this validation, 86% of the instantiated spontaneous reported cases effectively concerned notorious ADEs, whereas only 75% were initially identified manually as related to notorious ADEs.
Conclusion:
This system can assist characterization by applying a reasoning process similar to that used by experts in the search for ADEs.
Related Concept Videos
Pharmacovigilance
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
Pharmacodynamic Models: Overview
Quantitative Aspects of Drug-Receptor Interaction
Structure-Activity Relationships and Drug Design
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence its...
Pharmacokinetic Models: Overview
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal assumptions,...
Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions