Predicting Neoplastic Polyp in Patients With Gallbladder Polyps Using Interpretable Machine Learning Models: Retrospective Cohort Study
Our interpretable ML models accurately predict neoplastic polyps in GBP patients, providing guidance for treatment planning and resource allocation. The model's transparency fosters trust and understanding, empowering physicians to confidently use its predictions for improved patient care.
Authors
- Huijie Gao (ORCID: https://orcid.org/0000-0001-5029-6573)
- Sheng‐Shun Yang
- Zhaobin He (ORCID: https://orcid.org/0000-0002-0917-0570)
- Cheng Peng (ORCID: https://orcid.org/0000-0003-1217-9645)
- Jianqiang Cao
Institutions
- Qilu Hospital of Shandong University (CN)
Publication Details
- Journal
- Cancer Medicine
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1002/cam4.70739
- Citations
- 4
- Primary Topic
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Type
- article
- Field-Weighted Citation Impact
- 8.03
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Shandong Province
- Bijzonder Onderzoeksfonds UGent