Predictive models of lymph node metastasis in patients with gastrointestinal stromal tumors based on machine learning algorithms: a SEER-based retrospective study

We used machine learning algorithms to build models that can accurately predict lymph node metastasis in GISTs patients.

Authors

Yanchong Li (ORCID: https://orcid.org/0000-0002-9075-3887)
See‐Tong Pang (ORCID: https://orcid.org/0000-0002-2064-0828)
Feng Chen (ORCID: https://orcid.org/0000-0001-6210-8146)
Jianping Xiong (ORCID: https://orcid.org/0000-0003-0398-6090)
Ting Wu (ORCID: https://orcid.org/0009-0007-5029-3330)
Ziqun Liao
Lin Zheng (ORCID: https://orcid.org/0000-0002-4972-1015)
Peng Xie (ORCID: https://orcid.org/0000-0003-0363-962X)
Feiran Zhang (ORCID: https://orcid.org/0000-0002-0206-6535)
Xun Chen (ORCID: https://orcid.org/0000-0001-7961-7908)
Ping Zheng (ORCID: https://orcid.org/0000-0002-8785-6391)
Lizhu Lin (ORCID: https://orcid.org/0009-0001-7891-5521)
Haijie Xu (ORCID: https://orcid.org/0000-0002-2692-1575)
Yuandong Yuan