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

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

Resumen

[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.

Palabras clave

Antimicrobial resistance
Artificial intelligence
Cloud services
Deep learning
Healthcare
Industrial research project
Machine learning
Natural language processing
Superbug

Descripción

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.

Versión del editor

https://ceur-ws.org/Vol-3729/p23_rev.pdf

Derechos

Atribución 4.0 Internacional

ISSN

1613-0073