Development and Comparative Analysis of Machine Learning Models for Hypoxemia Severity Triage in CBRNE Emergency Scenarios Using Physiological and Demographic Data from Medical-Grade Devices

Fuente: arXiv

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Bibliographic Details
Main Authors:	Nanini, Santino, Abid, Mariem, Mamouni, Yassir, Wiedemann, Arnaud, Jouvet, Philippe, Bourassa, Stephane
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2410.23503