Machine learning-driven prediction model for successful weaning of patients from mechanical ventilation in ICU
The optimized predictive model, which was developed through the integration of multidimensional predictive factors with diverse machine learning algorithms, exhibits superior predictive accuracy and demonstrates significant clinical potential for determining the optimal timing for weaning patients receiving invasive mechanical ventilation. Trial registration Current Controlled Trials ChiCTR2400093658; registration date: December 10, 2024.
Authors
- Lulu Tang (ORCID: https://orcid.org/0000-0003-0612-9780)
- YuGang Zhuang
- Kevin Zheng (ORCID: https://orcid.org/0000-0002-1437-2820)
- Changcui Qiu (ORCID: https://orcid.org/0000-0003-2401-3474)
- Chunwei Chi
- Xiaoping Zhu
Institutions
- Tongji University (CN)
- Shanghai Tenth People's Hospital (CN)
Publication Details
- Journal
- Intensive Care Medicine Experimental
- Published
- 2026-01-21
- DOI
- https://doi.org/10.1186/s40635-026-00859-8
- Primary Topic
- Respiratory Support and Mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China