Machine learning-based model for predicting the occurrence and mortality of nonpulmonary sepsis-associated ARDS
The model established via the extreme gradient boosting method can predict the occurrence and mortality of nonpulmonary sepsis-associated ARDS to a certain extent.
Authors
- Zhaorui Sun (ORCID: https://orcid.org/0000-0002-8969-498X)
- Jinfeng Lin (ORCID: https://orcid.org/0000-0002-4703-1475)
- Suyan Zhang (ORCID: https://orcid.org/0000-0002-4250-7980)
- Chunfeng Gu
- Shinan Nie (ORCID: https://orcid.org/0000-0002-9989-4766)
Institutions
- Nantong University (CN)
- Affiliated Hospital of Nantong University (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Scientific Reports
- Published
- 2024-11-15
- DOI
- https://doi.org/10.1038/s41598-024-79899-7
- Citations
- 15
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 5.80
Funders
- Government of Jiangsu Province
- Natural Science Foundation of Jiangsu Province