GRALENIA: Antimicrobial Resistance Management based on Natural Language and Artificial Intelligence

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Bernardo-Castiñeira, Cristóbal
Campos, Manuel
Cánovas-Segura, Bernardo
Figueiras Gómez, Sergio
Míguez-Rey, Enrique

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Bernardo-Castiñeira, C., Bou, G., Campos, M., Cánovas-Segura, B., Gómez, S. F., Gómez-Rodríguez, C., ... & Vilares, J. (2023). GRALENIA: Antimicrobial Resistance Management based on Natural Language and Artificial Intelligence. CEUR Workshop Proceedings. Vol. 3729, Pages 100 – 105. Seminar of the Spanish Society for Natural Language Processing: Projects and System Demonstrations, SEPLN-CEDI-PD 2024, A Coruna, June 2024

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Abstract

[Abstract]: The objective of GRALENIA project is to develop a multidisciplinary, comprehensive and interoperable platform incorporating artificial intelligence algorithms and natural language processing techniques to improve the management of antimicrobial resistance (AMR) and reduce the impact of antimicrobial- or antibiotic-resistant microorganisms (aka superbugs) in hospitals. GRALENIA is supported through a Red.es grant for research and development projects in artificial intelligence and other digital technologies and their integration into value chains.

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Included in Proceedings of the Seminar of the Spanish Society for Natural Language Processing: Projects and System Demonstrations (SEPLN-CEDI-PD 2024) co-located with the 7th Spanish Conference on Informatics (CEDI 2024) A Coruña, Spain, June 19-20, 2024.

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Atribución 4.0 Internacional
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Atribución 4.0 Internacional

Except where otherwise noted, this item's license is described as Atribución 4.0 Internacional