Badisse DAHAMNA

Badisse DAHAMNA

Fonction : Ingénieur d'Etudes

Groupe : RecSan

Publications



59 documents

  • Benjamin Popoff, Boris Delange, Jonathan Nicolas, Badisse Dahamna, Marc Cuggia, et al.. Development and validation of an interpretable predictive machine learning model for successful weaning of continuous renal replacement therapy. Scientific Reports, 2025, 15 (1), pp.42631. ⟨10.1038/s41598-025-26774-8⟩. ⟨hal-05409162⟩
  • Laura Gosselin, Alexandre Maes, Kevin Eyer, Badisse Dahamna, Flavien Disson, et al.. Design and Implementation of a Dashboard for Drug Interactions Mediated by Cytochromes Using a Health Care Data Warehouse in a University Hospital Center: Development Study. JMIR Medical Informatics, 2024, 12, pp.e57705. ⟨10.2196/57705⟩. ⟨hal-05129082⟩
  • Julien Grosjean, Arriel Benis, Jean-Charles Dufour, Émeline Lejeune, Flavien Disson, et al.. Sharing Digital Health Educational Resources in a One-Stop Shop Portal: Tutorial on the Catalog and Index of Digital Health Teaching Resources (CIDHR) Semantic Search Engine. JMIR Medical Education, 2024, 10, pp.e48393. ⟨10.2196/48393⟩. ⟨inserm-04997545⟩
  • Laura Gosselin, C Letord, Romain Léguillon, Lina F. Soualmia, Badisse Dahamna, et al.. Modeling and integrating interactions involving the CYP450 enzyme system in a multi-terminology server: Contribution to information extraction from a clinical data warehouse. International Journal of Medical Informatics, 2023, 170, pp.104976. ⟨10.1016/j.ijmedinf.2022.104976⟩. ⟨hal-03982197⟩
  • Stéfan J. Darmoni, Arriel Benis, Émeline Lejeune, Flavien Disson, Badisse Dahamna, et al.. Digital Health Multilingual Ontology to Index Teaching Resources. Studies in Health Technology and Informatics, 2022, Studies in Health Technology and Informatics, 298, pp.19-23. ⟨10.3233/SHTI220900⟩. ⟨hal-03980904⟩
  • Romain Léguillon, Laura Gosselin, Christophe Carnoy, Thibaut Pressat-Laffouilhère, C Letord, et al.. A new knowledge organisation for monoclonal antibodies use authorised in Europe: a multi-terminology thesaurus to facilitate queries within clinical data warehouses. Journée Normandie de recherche biomédicale, Jun 2022, ROUEN, France. ⟨hal-03987580⟩
  • Romain Lelong, Badisse Dahamna, Hélène Berthelot, Willy Duville, C Letord, et al.. When Context Matters for Credible Measurement of Drug-Drug Interactions Based on Real-World Data. Challenges of Trustable AI and Added-Value on Health, IOS Press, 2022, Studies in Health Technology and Informatics, ⟨10.3233/SHTI220392⟩. ⟨hal-03689231⟩
  • Thibaut Pressat-Laffouilhère, Pierre Balayé, Badisse Dahamna, Romain Lelong, Kévin Billey, et al.. Evaluation of Doc’EDS: a French semantic search tool to query health documents from a clinical data warehouse. BMC Medical Informatics and Decision Making, 2022, 22 (1), pp.34. ⟨10.1186/s12911-022-01762-4⟩. ⟨hal-03981091⟩
  • Romain Lelong, Badisse Dahamna, Romain Leguillon, Julien Grosjean, Catherine Letord, et al.. Assisting Data Retrieval with a Drug Knowledge Graph. Informatics and Technology in Clinical Care and Public Health, IOS Press, 2022, Studies in Health Technology and Informatics, ⟨10.3233/shti210909⟩. ⟨hal-03545818⟩
  • Thibaut Pressat-Laffouilhère, Pierre Balayé, Badisse Dahamna, Romain Lelong, Kévin Billey, et al.. Evaluation of Doc’EDS: A French Semantic Search Tool to Query Health Documents from A Clinical Data Warehouse. 2020. ⟨hal-03066666⟩