Artificial intelligence for weight estimation in paediatric emergency care
The proposed SVM-G is a valid and safe tool to estimate weight in paediatric emergencies, more accurate than other local and global proposals.
Authors
- Elisabete Aramendi (ORCID: https://orcid.org/0000-0002-6409-1429)
- Iraia Isasi (ORCID: https://orcid.org/0000-0002-0312-4469)
- Sendoa Ballesteros-Peña (ORCID: https://orcid.org/0000-0001-5344-6880)
- Erik Alonso (ORCID: https://orcid.org/0000-0002-1796-6704)
Institutions
- University of the Basque Country (ES)
- Basque Center for Applied Mathematics (ES)
- BioCruces Health research Institute (ES)
Publication Details
- Journal
- BMJ Paediatrics Open
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1136/bmjpo-2024-002891
- Citations
- 1
- Primary Topic
- Respiratory Support and Mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 1.52
Funders
- Eusko Jaurlaritza
- Ministerio de Ciencia y Tecnología
- European Regional Development Fund
- Agencia Estatal de Investigación