Development of a machine learning model for prediction of the duration of unassisted spontaneous breathing in patients during prolonged weaning from mechanical ventilation-Reference-Cited by-同舟云学术

Development of a machine learning model for prediction of the duration of unassisted spontaneous breathing in patients during prolonged weaning from mechanical ventilation

Published:2024-08 Issue: Volume:82 Page:154795
ISSN:0883-9441
Container-title:Journal of Critical Care
language:en
Short-container-title:Journal of Critical Care

Author:

Fritsch Sebastian Johannes,Riedel Morris,Marx Gernot,Bickenbach Johannes,Schuppert Andreas

Publisher

Elsevier BV

Reference39 articles.

1. Modes of mechanical ventilation and weaning. A national survey of Spanish hospitals. The Spanish lung failure collaborative group;Esteban;Chest,1994

2. Risk factors for prolonged mechanical ventilation and weaning failure: a systematic review;Trudzinski;Respiration,2022

3. Weaning from mechanical ventilation;Boles;Eur Respir J,2007

4. Prevalence of diaphragmatic dysfunction in the long-term acute care setting and its effects on ventilator weaning outcomes: a retrospective cohort study;Barchuk;Am J Phys Med Rehabil,2022

5. Coexistence and impact of limb muscle and diaphragm weakness at time of liberation from mechanical ventilation in medical intensive care unit patients;Dres;Am J Respir Crit Care Med,2017

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Authors’ response: “Development of a machine learning model for prediction of the duration of unassisted spontaneous breathing in patients during prolonged weaning from mechanical ventilation”;Journal of Critical Care;2024-10

2. Letter to the Editor: “Development of a machine learning model for prediction of the duration of unassisted spontaneous breathing in patients during prolonged weaning from mechanical ventilation”;Journal of Critical Care;2024-10

3. Artificial intelligence and machine learning in critical care research;Journal of Critical Care;2024-08