Predicting Patient-ventilator Asynchronies with Hidden Markov Models

In mechanical ventilation, it is paramount to ensure the patient’s ventilatory demand is met while minimizing asynchronies. We aimed to develop a model to predict the likelihood of asynchronies occurring. We analyzed 10,409,357 breaths from 51 critically ill patients who underwent mechanical ventila...

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Detalles Bibliográficos
Autores principales: Marchuk, Yaroslav, Magrans, Rudys, Sales, Bernat, Montanya, Jaume, López-Aguilar, Josefina, de Haro, Candelaria, Gomà, Gemma, Subirà, Carles, Fernández, Rafael, Kacmarek, Robert M., Blanch, Lluis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6279839/
https://www.ncbi.nlm.nih.gov/pubmed/30514876
http://dx.doi.org/10.1038/s41598-018-36011-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6279839/
https://www.ncbi.nlm.nih.gov/pubmed/30514876
http://dx.doi.org/10.1038/s41598-018-36011-0

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