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

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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Bibliographic Details
Main Authors: Mohammed Sayed, David Riaño, Jesús Villar
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Journal of Clinical Medicine
Subjects:
intensive care unit
acute respiratory distress syndrome
mechanical ventilation
machine learning
prediction models
Online Access:https://www.mdpi.com/2077-0383/10/17/3824

Internet

https://www.mdpi.com/2077-0383/10/17/3824

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