Machine learning models predict lymph node metastasis in patients with stage T1-T2 esophageal squamous cell carcinoma

Machine learning models predict lymph node metastasis in patients with stage T1-T2 esophageal squamous cell carcinoma

BackgroundFor patients with stage T1-T2 esophageal squamous cell carcinoma (ESCC), accurately predicting lymph node metastasis (LNM) remains challenging. We aimed to investigate the performance of machine learning (ML) models for predicting LNM in patients with stage T1-T2 ESCC.MethodsPatients with...

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Bibliographic Details
Main Authors: Dong-lin Li, Lin Zhang, Hao-ji Yan, Yin-bin Zheng, Xiao-guang Guo, Sheng-jie Tang, Hai-yang Hu, Hang Yan, Chao Qin, Jun Zhang, Hai-yang Guo, Hai-ning Zhou, Dong Tian
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Oncology
Subjects:
esophageal squamous cell carcinoma
machine learning
lymph node metastasis
predictive model
stage T1-T2
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.986358/full

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https://www.frontiersin.org/articles/10.3389/fonc.2022.986358/full

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