Evaluating the Relevance of Virtual Drugs
| Autor: | Yvon K. Awuklu, Vianney Jouhet, Sébastien Cossin, Frantz Thiessard, Romain Griffier, Fleur Mougin |
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| Přispěvatelé: | CHU Bordeaux [Bordeaux], Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Admin, Oskar |
| Rok vydání: | 2022 |
| Předmět: |
[SDV.SP] Life Sciences [q-bio]/Pharmaceutical sciences
ComputingMethodologies_PATTERNRECOGNITION [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie Semantic interoperability InformationSystems_DATABASEMANAGEMENT Virtual drug [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie [SDV.SP]Life Sciences [q-bio]/Pharmaceutical sciences Drug |
| Zdroj: | Studies in Health Technology and Informatics Studies in Health Technology and Informatics, IOS Press, 2022, 294, pp.322-326. ⟨10.3233/shti220467⟩ Studies in Health Technology and Informatics, IOS Press, 2022, Challenges of Trustable AI and Added-Value on Health, 294, pp.322-326. ⟨10.3233/shti220467⟩ |
| ISSN: | 1879-8365 0926-9630 |
| DOI: | 10.3233/shti220467⟩ |
| Popis: | International audience; Information about drugs is numerous and varied, and many drugs can share the same information. Grouping drugs that have common characteristics can be useful to avoid redundancy and facilitate interoperability. Our work focused on the evaluation of the relevance of classes allowing this type of grouping: the "Virtual Drug". Thus, in this paper, we describe the process of creating this class from the data of the French Public Drug Database, which is then evaluated against the codes of the Anatomical Therapeutic Chemical classification associated with the drugs. Our evaluation showed that 99.55% of the "Virtual Drug" classes have a good intra-class consistency. |
| Databáze: | OpenAIRE |
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