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http://hdl.handle.net/2183/38926 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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Bibliographic citation
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.
Description
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
© 2024 Copyright for this paper by its authors.
© 2024 Copyright for this paper by its authors.








