Interpretable machine learning model for predicting anastomotic leak after esophageal cancer surgery via LightGBM.

IF 3.4 2区医学 Q2 ONCOLOGY

BMC Cancer Pub Date : 2025-06-01 DOI:10.1186/s12885-025-14387-3

Xiaodong Yang, Fulin Dou, Guoshuo Tang, Ruipu Xiu, Xiaogang Zhao

引用次数: 0

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基于LightGBM预测食管癌术后吻合口漏的可解释机器学习模型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

BMC Cancer 医学-肿瘤学

CiteScore

6.00

自引率

2.60%

发文量

1204

审稿时长

6.8 months

期刊介绍： BMC Cancer is an open access, peer-reviewed journal that considers articles on all aspects of cancer research, including the pathophysiology, prevention, diagnosis and treatment of cancers. The journal welcomes submissions concerning molecular and cellular biology, genetics, epidemiology, and clinical trials.