Machine learning to predict extubation success using the spontaneous breathing trial, objective cough measurement, and diaphragmatic contraction velocity: Secondary analysis of the COBRE-US trial Cover

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Machine learning to predict extubation success using the spontaneous breathing trial, objective cough measurement, and diaphragmatic contraction velocity: Secondary analysis of the COBRE-US trial

The Journal of Critical Care Medicine

Volume 11 (2025): Issue 1 (January 2025)

By: Fabio Varón-Vega, Eduardo Tuta-Quintero, Adriana Maldonado-Franco, Henry Robayo-Amórtegui, Luis F Giraldo-Cadavid and Daniel Botero-Rosas

Open Access

|Jan 2025

Authors

Fabio Varón-Vega

fvaron@neumologica.org

Fundación Neumológica Colombiana, Bogotá, Colombia

Fundación Cardioinfantil Instituto de Cardiología, Bogotá, Colombia

Eduardo Tuta-Quintero

Fundación Neumológica Colombiana, Bogotá, Colombia

Fundación Cardioinfantil Instituto de Cardiología, Bogotá, Colombia

Universidad de La Sabana, Chía, Colombia

Adriana Maldonado-Franco

Universidad de La Sabana, Chía, Colombia

Henry Robayo-Amórtegui

Universidad de La Sabana, Chía, Colombia

Luis F Giraldo-Cadavid

Fundación Neumológica Colombiana, Bogotá, Colombia

Universidad de La Sabana, Chía, Colombia

Daniel Botero-Rosas

Universidad de La Sabana, Chía, Colombia

DOI: https://doi.org/10.2478/jccm-2025-0009 | Journal eISSN: 2393-1817 | Journal ISSN: 2393-1809

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Language: English

Page range: 70 - 77

Submitted on: Oct 22, 2024

Accepted on: Jan 26, 2025

Published on: Jan 31, 2025

Published by: University of Medicine, Pharmacy, Science and Technology of Targu Mures

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

critical illness,

airway extubation,

ventilator weaning,

machine learning

Related subjects:

Clinical medicine,

Internal medicine,

Internal medicine, other,

Surgery, other,

Anaesthesiology,

Emergency medicine and intensive-care medicine

© 2025 Fabio Varón-Vega, Eduardo Tuta-Quintero, Adriana Maldonado-Franco, Henry Robayo-Amórtegui, Luis F Giraldo-Cadavid, Daniel Botero-Rosas, published by University of Medicine, Pharmacy, Science and Technology of Targu Mures
This work is licensed under the Creative Commons Attribution 4.0 License.

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