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

BACKGROUND: For 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. METHODS: Patients...

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Detalles Bibliográficos
Autores principales: Li, Dong-lin, Zhang, Lin, Yan, Hao-ji, Zheng, Yin-bin, Guo, Xiao-guang, Tang, Sheng-jie, Hu, Hai-yang, Yan, Hang, Qin, Chao, Zhang, Jun, Guo, Hai-yang, Zhou, Hai-ning, Tian, Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9496653/
https://www.ncbi.nlm.nih.gov/pubmed/36158684
http://dx.doi.org/10.3389/fonc.2022.986358

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9496653/
https://www.ncbi.nlm.nih.gov/pubmed/36158684
http://dx.doi.org/10.3389/fonc.2022.986358

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