Name
Title | ||
|---|---|---|
Reliability of Drug-Drug Interaction Measurement on Real-Word Data: The ReMIAMes Project. |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.3233/SHTI220425 | Medical Informatics Europe (MIE) |
Keywords | DocType | Volume |
Data warehouse,Methodology,Quality,drug drug interaction | Conference | 294 |
ISSN | Citations | PageRank |
1879-8365 | 0 | 0.34 |
References | Authors | |
0 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Catherine Duclos | 1 | 0 | 0.34 |
| Nicolas Griffon | 2 | 0 | 0.34 |
| Christel Daniel | 3 | 0 | 0.34 |
| Guillaume Bouzillé | 4 | 0 | 0.34 |
| Denis Delamarre | 5 | 0 | 0.34 |
| Stefan Darmoni | 6 | 0 | 0.34 |
| Laurent Toubiana | 7 | 0 | 0.34 |
| Julien Grosjean | 8 | 0 | 0.34 |