Development and external validation of a machine learning-based model to predict postoperative recurrence in patients with duodenal adenocarcinoma: a multicenter, retrospective cohort study

Development and external validation of a machine learning-based model to predict postoperative recurrence in patients with duodenal adenocarcinoma: a multicenter, retrospective cohort study

Abstract Background Duodenal adenocarcinoma (DA) has a high recurrence rate, making the prediction of recurrence after surgery critically important. Methods Our objective is to develop a machine learning-based model to predict the postoperative recurrence of DA. We conducted a multicenter, retrospec...

Full description

Saved in:
Bibliographic Details
Main Authors: Xu Liu, Qifeng Xiao, Zongting Gu, Xin Wu, Chunhui Yuan, Xiaolong Tang, Fanbin Meng, Dong Wang, Ren Lang, Kaiqing Guo, Xiaodong Tian, Yu Zhang, Enhong Zhao, Zhenzhou Wu, Jingyong Xu, Ying Xing, Feng Cao, Chengfeng Wang, Jianwei Zhang
Format: Article
Language:English
Published: BMC 2025-02-01
Series:BMC Medicine
Subjects:
Duodenal adenocarcinoma
Cancer recurrence
Surgery
Machine learning-based model
Online Access:https://doi.org/10.1186/s12916-025-03912-7
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s12916-025-03912-7

Similar Items