Machine learning model-based prediction of postpancreatectomy acute pancreatitis following pancreaticoduodenectomy: A retrospective cohort study
We developed the first machine learning-based predictive model for PPAP following PD. This predictive model can assist surgeons in anticipating and managing this complication proactively.
Authors
- Bingjun Tang
- Jun‐Kai Wang
- Liuqing Yang (ORCID: https://orcid.org/0000-0002-1752-9352)
- Pengfei Wang (ORCID: https://orcid.org/0000-0002-2660-2427)
- Xuedong Wang (ORCID: https://orcid.org/0000-0002-7031-7770)
- Yumei Li (ORCID: https://orcid.org/0000-0002-7705-4950)
- Jiming Ma
- Yan Wen (ORCID: https://orcid.org/0000-0002-0801-9609)
- Jianping Song (ORCID: https://orcid.org/0000-0002-8047-8930)
Institutions
- Beijing Tsinghua Chang Gung Hospital (CN)
Publication Details
- Journal
- World Journal of Gastroenterology
- Published
- 2025-01-23
- DOI
- https://doi.org/10.3748/wjg.v31.i8.102071
- Citations
- 3
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 3.14