Clinical model for predicting prolonged mechanical ventilation
Author:
Publisher
Elsevier BV
Subject
Critical Care and Intensive Care Medicine
Reference27 articles.
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1. The impact of comorbidities on prolonged mechanical ventilation in patients with chronic obstructive pulmonary disease;BMC Pulmonary Medicine;2024-05-25
2. Machine learning modelling for predicting the utilization of invasive and non‐invasive ventilation throughout the ICU duration;Healthcare Technology Letters;2024-02-20
3. Resposta para: Associação entre área de secção transversa do reto femoral e excursão diafragmática com o desmame de pacientes com traqueostomia na unidade de terapia intensiva;Critical Care Science;2024
4. Reply to: Association between rectus femoris cross-sectional area and diaphragmatic excursion with weaning of tracheostomized patients in the intensive care unit;Critical Care Science;2024
5. Machine Learning Algorithms Predict Successful Weaning From Mechanical Ventilation Before Intubation: Retrospective Analysis From the Medical Information Mart for Intensive Care IV Database;JMIR Formative Research;2023-11-14
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