The Predictive Value of Respiratory Reserve for Weaning Assessed by Ventilation Parameters during Spontaneous Breathing Trials Based on Automated Machine Learning: A Retrospective Study
Respiratory reserve assessed by ventilator parameters during SBTs could predict weaning outcomes for critically ill patients. And they should be analyzed comprehensively rather than in isolation. AutoML is a promising method worthy of consideration. And prospective studies with external validation are needed.
Authors
- Qin Yingzhi
- Wenjiao Wang (ORCID: https://orcid.org/0000-0001-8675-9007)
- Xinjing Gao (ORCID: https://orcid.org/0009-0007-5557-5070)
- Kai Zhang (ORCID: https://orcid.org/0000-0003-4242-0866)
- Zhibo Li (ORCID: https://orcid.org/0000-0001-9512-1507)
- Jie Ren (ORCID: https://orcid.org/0000-0002-4595-3281)
Institutions
- Tianjin University (CN)
- Tianjin Third Central Hospital (CN)
- Tianjin Hospital (CN)
- Tianjin Medical University (CN)
Publication Details
- Journal
- Respiration
- Published
- 2025-10-17
- DOI
- https://doi.org/10.1159/000548955
- Primary Topic
- Delphi Technique in Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00