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”

Author:

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

Publisher

Elsevier BV

Reference5 articles.

1. Development of a machine learning model for prediction of the duration of unassisted spontaneous breathing in patients during prolonged weaning from mechanical ventilation;Fritsch;J Crit Care,2024

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

3. Haemoglobin value and red blood cell transfusions in prolonged weaning from mechanical ventilation: a retrospective observational study;Fritsch;BMJ Open Respir Res,2022

4. The receiver operating characteristic curve accurately assesses imbalanced datasets;Richardson;Patterns,2024

5. Weaning from invasive ventilation in specialist centers following primary weaning failure;Bornitz;Dtsch Arztebl Int,2020

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