Predicting mortality in intensive care unit patients with acute pancreatitis using an interpretable machine learning model
An interpretable SVM model incorporating routinely available clinical variables effectively predicts in-hospital mortality in ICU patients with AP. SHAP-enhanced interpretation highlights key predictors and enhances model transparency, supporting clinical decision-making.
Authors
- Zhuangli Li
- Xingcheng Zhang
- Yun Sun
- Xiaoli Zhang
- Zhonghua Lu
Institutions
- Anhui Medical University (CN)
- Second Affiliated Hospital of Anhui Medical University (CN)
- Fuyang Second People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-07-21
- DOI
- https://doi.org/10.3389/fmed.2025.1592051
- Citations
- 1
- Primary Topic
- Pancreatitis Pathology and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 2.01
Funders
- Anhui Medical University