Supplementary information for Combination of exhaled volatile organic compounds with serum biomarkers predicts respiratory infection severity [Dataset]

Under a Creative Commons Attribution-NonCommercial License.

Detalhes bibliográficos
Autores:	Esteban, Patricia, Letona Jiménez, Santiago, Domingo, María Pilar, Morte Romea, Elena, Pellejero, Galadriel, Encabo-Berzosa, M. Mar, Ramírez-Labrada, Ariel, Sanz-Pamplona, Rebeca, Pardo, Julián, Paño, José Ramón, Gálvez Buerba, Eva Mª
Tipo de documento:	conjunto de datos
Data de publicação:	2025
País:	España
Recursos:	Consejo Superior de Investigaciones Científicas (CSIC)
Repositório:	DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:	oai:digital.csic.es:10261/386648
Acesso em linha:	http://hdl.handle.net/10261/386648
Access Level:	Acceso aberto
Palavra-chave:	Machine learning Respiratory infections Serum biomarkers Severity prediction Volatile organic compounds COVID-19 http://metadata.un.org/sdg/3 Ensure healthy lives and promote well-being for all at all ages machine learning respiratory diseases infection biomarkers disease severity organic volatile compounds

Descrição
Resumo:	Under a Creative Commons Attribution-NonCommercial License.