Machine Learning-Based Prediction of Postoperative Pneumonia Among Super-Aged Patients With Hip Fracture
This study develops and validates a reliable machine learning-based model to predict pneumonia specifically among super-aged patients with hip fracture following surgery. This model can serve as a useful tool to identify postoperative pneumonia and guide clinical strategies for super-aged patients with hip fracture.
Authors
- Dianying Zhang (ORCID: https://orcid.org/0000-0001-8396-702X)
- Miaotian Tang
- Meng Zhang (ORCID: https://orcid.org/0000-0003-4935-4005)
- Mingxing Lei (ORCID: https://orcid.org/0009-0009-7134-0014)
- Yu Dang (ORCID: https://orcid.org/0000-0002-9536-0150)
Institutions
- Peking University (CN)
- Chinese PLA General Hospital (CN)
- Ministry of Civil Affairs (CN)
- Fifth Tianjin Central Hospital (CN)
- Peking University People's Hospital (CN)
- National Center of Biomedical Analysis (CN)
Publication Details
- Journal
- Clinical Interventions in Aging
- Published
- 2025-02-01
- DOI
- https://doi.org/10.2147/cia.s507138
- Citations
- 4
- Primary Topic
- Hip and Femur Fractures
- Type
- article
- Field-Weighted Citation Impact
- 8.03
Funders
- National Key Research and Development Program of China