Interpretive machine learning predicts short-term mortality risk in elderly sepsis patients
The study's machine learning prediction model is a dependable tool for forecasting the prognosis of elderly patients with severe sepsis.
Authors
- Zhibao Lv (ORCID: https://orcid.org/0000-0002-6854-1394)
- Jianwei Tian (ORCID: https://orcid.org/0009-0001-8695-5021)
- Feifei Su
- Zefei Jiang (ORCID: https://orcid.org/0000-0002-4295-0173)
- Xingyu Zhu (ORCID: https://orcid.org/0009-0001-8392-369X)
- Li Xiao (ORCID: https://orcid.org/0000-0002-5488-5583)
Institutions
- Hebei North University (CN)
- Air Force General Hospital PLA (CN)
- Chinese People's Liberation Army (CN)
Publication Details
- Journal
- Frontiers in Physiology
- Published
- 2025-03-26
- DOI
- https://doi.org/10.3389/fphys.2025.1549138
- Citations
- 1
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.35