Predicting Duration of Mechanical Ventilation in Acute Respiratory Distress Syndrome Using Supervised Machine Learning

Background: Acute respiratory distress syndrome (ARDS) is an intense inflammatory process of the lungs. Most ARDS patients require mechanical ventilation (MV). Few studies have investigated the prediction of MV duration over time. We aimed at characterizing the best early scenario during the first t...

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Detalles Bibliográficos
Autores principales: Sayed, Mohammed, Riaño, David, Villar, Jesús
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8432117/
https://www.ncbi.nlm.nih.gov/pubmed/34501270
http://dx.doi.org/10.3390/jcm10173824

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8432117/
https://www.ncbi.nlm.nih.gov/pubmed/34501270
http://dx.doi.org/10.3390/jcm10173824

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