Development of a Machine Learning Model for Predicting Weaning Outcomes Based Solely on Continuous Ventilator Parameters during Spontaneous Breathing Trials

Discontinuing mechanical ventilation remains challenging. We developed a machine learning model to predict weaning outcomes using only continuous monitoring parameters obtained from ventilators during spontaneous breathing trials (SBTs). Patients who received mechanical ventilation in the medical in...

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Detalles Bibliográficos
Autores principales: Park, Ji Eun, Kim, Do Young, Park, Ji Won, Jung, Yun Jung, Lee, Keu Sung, Park, Joo Hun, Sheen, Seung Soo, Park, Kwang Joo, Sunwoo, Myung Hoon, Chung, Wou Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10604888/
https://www.ncbi.nlm.nih.gov/pubmed/37892893
http://dx.doi.org/10.3390/bioengineering10101163

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10604888/
https://www.ncbi.nlm.nih.gov/pubmed/37892893
http://dx.doi.org/10.3390/bioengineering10101163

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