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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

Fabio Varón-Vega

Fabio Varón-Vega

  • Fundación Neumológica ColombianaBogotá, Colombia
  • Fundación Cardioinfantil Instituto de CardiologíaBogotá, Colombia
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Varón-Vega, Fabio
, 
Eduardo Tuta-Quintero

Eduardo Tuta-Quintero

  • Fundación Neumológica ColombianaBogotá, Colombia
  • Fundación Cardioinfantil Instituto de CardiologíaBogotá, Colombia
  • Universidad de La SabanaChía, Colombia
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Tuta-Quintero, Eduardo
, 
Adriana Maldonado-Franco

Adriana Maldonado-Franco

Universidad de La SabanaChía, Colombia
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Maldonado-Franco, Adriana
, 
Henry Robayo-Amórtegui

Henry Robayo-Amórtegui

Universidad de La SabanaChía, Colombia
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Robayo-Amórtegui, Henry
, 
Luis F Giraldo-Cadavid

Luis F Giraldo-Cadavid

  • Fundación Neumológica ColombianaBogotá, Colombia
  • Universidad de La SabanaChía, Colombia
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Giraldo-Cadavid, Luis F
 and 
Daniel Botero-Rosas

Daniel Botero-Rosas

Universidad de La SabanaChía, Colombia
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Botero-Rosas, Daniel
  
Jan 31, 2025
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's Cover Image
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Article Category: Research Article
Published Online: Jan 31, 2025
Page range: 70 - 77
Received: Oct 22, 2024
Accepted: Jan 26, 2025
DOI: https://doi.org/10.2478/jccm-2025-0009
Keywords
© 2025 Fabio Varón-Vega et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Medicine, Clinical Medicine, Internal Medicine, Internal Medicine, other, Surgery, Surgery, other, Anaesthesiology, Emergency Medicine and Intensive-Care Medicine
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