[Establishment of a nomogram prediction model for 28-day mortality of septic shock patients based on routine laboratory data mining].
A nomogram prediction model constructed based on routine laboratory data mining can effectively predict 28-day mortality in septic shock patients, and its prediction performance is good.
Authors
- Min Shao (ORCID: https://orcid.org/0000-0002-6922-0445)
- Tao Ding (ORCID: https://orcid.org/0000-0002-0003-5452)
- Qi Guo (ORCID: https://orcid.org/0000-0001-7684-4072)
- Ran Zeng
Institutions
- Anhui Medical University (CN)
- Fuyang Maternity and Child Health Care Hospital (CN)
- First Affiliated Hospital of Anhui Medical University (CN)
- Fuyang Second People's Hospital (CN)
Publication Details
- Journal
- PubMed
- Published
- 2024-11-01
- DOI
- https://doi.org/10.3760/cma.j.cn121430-20240202-00108
- Primary Topic
- Machine Learning in Healthcare
- Type
- article