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pro vyhledávání: '"Mamouni, Yassir"'
Autor:
Nanini, Santino, Abid, Mariem, Mamouni, Yassir, Wiedemann, Arnaud, Jouvet, Philippe, Bourassa, Stephane
This paper presents the development of machine learning (ML) models to predict hypoxemia severity during emergency triage, especially in Chemical, Biological, Radiological, Nuclear, and Explosive (CBRNE) events, using physiological data from medical-
Externí odkaz:
http://arxiv.org/abs/2410.23503
