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MedCYN

🇬🇧 An interactive and multilingual web tool for clinical decision support based on the SPARQL query service of Wikidata

🇫🇷 Un outil web interactif et multilingue basé sur le système de requête SPARQL de Wikidata pour l'aide à la décision clinique

🇮🇹 Uno strumento web interattivo e multilingue basato sul sistema di query SPARQL di Wikidata per il supporto alle decisioni cliniche

🇪🇸 Una herramienta web interactiva y multilingüe basada en el sistema de consulta SPARQL de Wikidata para apoyo a la toma de decisiones clínicas

☪️ أداة ويب تفاعلية ومتعددة اللغات تعتمد على نظام استعلام SPARQL الخاص بويكي بيانات لدعم القرار السريري

Instructions

Use the tool

Languages

  • Français
  • English
  • Italiano
  • Español
  • العربية

Team

  • Houcemeddine Turki, Data Engineering and Semantics Research Unit and Faculty of Medicine of Sfax, University of Sfax, Tunisia
  • Makram Koubaa, Faculty of Medicine of Sfax, University of Sfax, Tunisia
  • Mohamed Frikha, Faculty of Economic Sciences and Management of Sfax, University of Sfax, Tunisia
  • Mohamed Ali Hadj Taieb, Data Engineering and Semantics Research Unit, University of Sfax, Tunisia
  • Nejmeddine Hentati, Faculty of Medicine of Sfax, University of Sfax, Tunisia
  • Mohamed Ben Aouicha, Data Engineering and Semantics Research Unit, University of Sfax, Tunisia

Dependencies

The repository bundles several third-party libraries (bootstrap, d3, jquery, popper) and snippets from Stack Overflow. We reuse them according to the Fair Use guidelines.

Acknowledgments

Parts of the source code were retrieved from the GitHub repository of Scholia, a web service hosted on Toolforge for generating bibliometric profiles based on Wikidata. The work is supported by the Ministry of Higher Education and Scientific Research in Tunisia (MoHESR) in the framework of Federated Research Project PRFCOV19-D1-P1. The contributions of Houcemeddine Turki, Mohamed Ali Hadj Taieb, and Mohamed Ben Aouicha are funded by the Adapting Wikidata to support clinical practice using Data Science, Semantic Web and Machine Learning grant supported by the Wikimedia Foundation, the non-profit organization maintaining Wikipedia, Wikidata, and other projects.