Early prediction of ARDS caused by non-pulmonary sepsis based on machine learning algorithms of inflammatory indicators and blood gas parameters
In this study, a machine learning model based on inflammatory indicators and blood gas parameters was successfully developed and validated to predict the risk of ARDS in patients with non-pulmonary sepsis.
Authors
- Boyu Jia (ORCID: https://orcid.org/0000-0002-1307-272X)
- Shiping Wu
- Bo Deng (ORCID: https://orcid.org/0000-0001-7170-701X)
- Xiaojuan Wu (ORCID: https://orcid.org/0000-0001-9384-3979)
Institutions
- Suizhou Central Hospital (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-12-10
- DOI
- https://doi.org/10.3389/fmed.2025.1722756
- Citations
- 1
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.35