Predictive Monitoring of Critical Cardiorespiratory Alarms in Neonates Under Intensive Care

We aimed at reducing alarm fatigue in neonatal intensive care units by developing a model using machine learning for the early prediction of critical cardiorespiratory alarms. During this study in over 34,000 patient monitoring hours in 55 infants 278,000 advisory (yellow) and 70,000 critical (red)...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IEEE 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6906083/
https://www.ncbi.nlm.nih.gov/pubmed/32166052
http://dx.doi.org/10.1109/JTEHM.2019.2953520

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6906083/
https://www.ncbi.nlm.nih.gov/pubmed/32166052
http://dx.doi.org/10.1109/JTEHM.2019.2953520

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