Thirty-day mortality risk prediction for geriatric patients undergoing non-cardiac surgery in the surgical intensive care unit
This study demonstrates the potential of machine learning methods for early prediction of outcomes in critically ill elderly patients undergoing non-cardiac surgery. A web-based application was developed, which could serve as an effective tool for clinicians in their risk assessment and clinical decision-making processes.
Authors
- Jiatong Liu
- Yingxue Chen (ORCID: https://orcid.org/0000-0002-6365-9561)
- Aijie Hou (ORCID: https://orcid.org/0000-0002-1113-3971)
- Huan Jia (ORCID: https://orcid.org/0000-0003-2689-5976)
- Caiyun Li (ORCID: https://orcid.org/0000-0002-0213-9706)
- Hongzeng Xu (ORCID: https://orcid.org/0009-0004-7541-4643)
Institutions
- Liaoning Provincial People's Hospital (CN)
- General Hospital of Shenyang Military Region (CN)
- Jinzhou Medical University (CN)
- China Medical University (CN)
Publication Details
- Journal
- European journal of medical research
- Published
- 2025-05-09
- DOI
- https://doi.org/10.1186/s40001-025-02543-1
- Primary Topic
- Cardiac, Anesthesia and Surgical Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Liaoning Province