Enhancing explainability of random survival forests in predicting stent patency risk for malignant colonic obstruction
The RSF algorithm, supplemented with comprehensive feature importance analyses and advanced interpretability techniques, offers a robust and reliable framework for predicting stent patency risk in patients with malignant colonic obstruction.
Authors
- Mengsha Zou
- Xiaozheng Cao
- Huanhua Wu (ORCID: https://orcid.org/0000-0002-2690-9234)
- Bo Zhang (ORCID: https://orcid.org/0000-0002-0254-5843)
- Dan Li (ORCID: https://orcid.org/0000-0002-5586-4055)
- Ying Li (ORCID: https://orcid.org/0000-0001-5623-5341)
- Yuan Wan (ORCID: https://orcid.org/0000-0002-1385-9020)
Institutions
- Sun Yat-sen University (CN)
- Jinan University (CN)
- Sixth Affiliated Hospital of Sun Yat-sen University (CN)
- The First People's Hospital of Shunde (CN)
- Central People's Hospital of Zhanjiang (CN)
- Jinan Central Hospital (CN)
- The First Affiliated Hospital, Sun Yat-sen University (CN)
Publication Details
- Journal
- BMC Gastroenterology
- Published
- 2025-10-23
- DOI
- https://doi.org/10.1186/s12876-025-04373-1
- Primary Topic
- Colorectal Cancer Surgical Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Jinan University