Individualized prediction of stroke-associated pneumonia for patients with acute ischemic stroke
We identified the best predictive model for SAP in AIS patients. Our study aimed to be as clinically relevant as possible, focusing on features that are routinely available. The contribution of selected variables is visually displayed through SHapley Additive exPlanations (SHAP). Our model can help to distinguish AIS patients of high-risk, provide specific management, reduce healthcare costs and prevent life-threatening complications and even death.
Authors
- Qi Fang (ORCID: https://orcid.org/0000-0002-9762-2687)
- Xiang Tang (ORCID: https://orcid.org/0000-0002-3594-8067)
- Qi Wang (ORCID: https://orcid.org/0000-0002-8879-7151)
- Lulu Zhang (ORCID: https://orcid.org/0000-0003-2032-6879)
- Yidan Li (ORCID: https://orcid.org/0000-0002-9561-9003)
Institutions
- Shanghai Jiao Tong University (CN)
- Fudan University (CN)
- Soochow University (CN)
- Shanghai First People's Hospital (CN)
- First Affiliated Hospital of Soochow University (CN)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2025-02-07
- DOI
- https://doi.org/10.3389/fneur.2025.1505270
- Primary Topic
- Dysphagia Assessment and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Government of Jiangsu Province
- Natural Science Foundation of Jiangsu Province
- Soochow University
- Science and Technology Program of Suzhou