Explainable machine learning for early prediction of sepsis in traumatic brain injury: A discovery and validation study
As shown in the study, the ML model could be used to predict the occurrence of sepsis in patients with TBI in the intensive care unit.
Authors
- Winston Liu
- Weizhi Chen (ORCID: https://orcid.org/0000-0002-5099-2680)
- Q.J.J. Wu (ORCID: https://orcid.org/0009-0004-6120-8689)
- Yu Xing (ORCID: https://orcid.org/0000-0003-2641-2962)
- Jinhong Chen (ORCID: https://orcid.org/0000-0002-0413-0377)
Institutions
- Fujian Medical University (CN)
- First Affiliated Hospital of Fujian Medical University (CN)
Publication Details
- Journal
- PLoS ONE
- Published
- 2024-11-11
- DOI
- https://doi.org/10.1371/journal.pone.0313132
- Citations
- 6
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 2.32
Funders
- Fujian Provincial Finance Department
- Fujian Medical University