Evaluation of Doc’EDS: a French semantic search tool to query health documents from a clinical data warehouse

Autor: Thibaut Pressat-Laffouilhère, Pierre Balayé, Badisse Dahamna, Romain Lelong, Kévin Billey, Stéfan J. Darmoni, Julien Grosjean

Publikováno v: BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-11 (2022)

Abstract Background Unstructured data from electronic health records represent a wealth of information. Doc’EDS is a pre-screening tool based on textual and semantic analysis. The Doc’EDS system provides a graphic user interface to search documen

Externí odkaz: https://doaj.org/article/1ba5dddc81af450f957f3a663518eaf5

Mining Patients' Narratives in Social Media for Pharmacovigilance: Adverse Effects and Misuse of Methylphenidate

Autor: Xiaoyi Chen, Carole Faviez, Stéphane Schuck, Agnès Lillo-Le-Louët, Nathalie Texier, Badisse Dahamna, Charles Huot, Pierre Foulquié, Suzanne Pereira, Vincent Leroux, Pierre Karapetiantz, Armelle Guenegou-Arnoux, Sandrine Katsahian, Cédric Bousquet, Anita Burgun

Publikováno v: Frontiers in Pharmacology, Vol 9 (2018)

Background: The Food and Drug Administration (FDA) in the United States and the European Medicines Agency (EMA) have recognized social media as a new data source to strengthen their activities regarding drug safety.Objective: Our objective in the ADR

Externí odkaz: https://doaj.org/article/cdf6810dd687483b8c7da76d7cf8310c

Digital Health Multilingual Ontology to Index Teaching Resources

Autor: Stéfan, Darmoni, Arriel, Benis, Emeline, Lejeune, Flavien, Disson, Badisse, Dahamna, Patrick, Weber, Pascal, Staccini, Julien, Grosjean

Publikováno v: Studies in health technology and informatics. 298

The aim of this paper is to present the use of Medical Informatics Multilingual Ontology (MIMO) to index digital health resources that are (and will be) included in SaNuRN (project to teach digital health). MIMO currently contains 1,379 concepts and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::c16e46235a9b579e304ca7060166b5e1
https://pubmed.ncbi.nlm.nih.gov/36073449

When Context Matters for Credible Measurement of Drug-Drug Interactions Based on Real-World Data

Autor: Romain Lelong, Badisse Dahamna, Hélène Berthelot, Willy Duville, Catherine Letord, Julien Grosjean, Catherine Duclos

Publikováno v: Challenges of Trustable AI and Added-Value on Health
Challenges of Trustable AI and Added-Value on Health, IOS Press, 2022, Studies in Health Technology and Informatics, ⟨10.3233/SHTI220392⟩

International audience; The frequency of potential drug-drug interactions (DDI) in published studies on real world data considerably varies due to the methodological framework. Contextualization of DDI has a proven effect in limiting false positives.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d8645683cbd6de6e13f5a423050d51f
https://doi.org/10.3233/shti220392

Modeling and integrating interactions involving the CYP450 enzyme system in a multi-terminology server: Contribution to information extraction from a clinical data warehouse

Autor: Laura Gosselin, Catherine Letord, Romain Leguillon, Lina F. Soualmia, Badisse Dahamna, Abdelmalek Mouazer, Flavien Disson, Stéfan J. Darmoni, Julien Grosjean

Publikováno v: International journal of medical informatics. 170

The cytochrome P450 (CYP450) enzyme system is involved in the metabolism of certain drugs and is responsible for most drug interactions. These interactions result in either an enzymatic inhibition or an enzymatic induction mechanism that has an impac

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3292a771b499c9d213b3579e6ada16a6
https://pubmed.ncbi.nlm.nih.gov/36599261