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An interpretable machine learning model for predicting in-hospital mortality in ICU patients with ventilator-associated pneumonia
3
Zitationen
7
Autoren
2025
Jahr
Abstract
The RF model demonstrated robust and reliable performance in predicting in-hospital mortality risk for VAP patients. The developed online tool can assist clinicians in efficiently assessing VAP in-hospital mortality risk, supporting clinical decision-making.
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Autoren
Institutionen
- Guangzhou University of Chinese Medicine(CN)
- Sun Yat-sen Memorial Hospital(CN)
- Sun Yat-sen University(CN)
- Shanghai Jiao Tong University(CN)
- Shanghai First People's Hospital(CN)
- Third Affiliated Hospital of Sun Yat-sen University(CN)
- First Affiliated Hospital of Guangzhou University of Chinese Medicine(CN)