Machine learning models for predicting one-year survival in patients with metastatic gastric cancer who experienced upfront radical gastrectomy

Tumor metastasis is a common event in patients with gastric cancer (GC) who previously underwent curative gastrectomy. It is meaningful to employ high-volume clinical data for predicting the survival of metastatic GC patients. We aim to establish an improved machine learning (ML) classifier for pred...

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Detalles Bibliográficos
Autores principales: Zhang, Cheng, Zhang, Yi, Yang, Ya-Hui, Xu, Hui, Zhang, Xiao-Peng, Wu, Zhi-Jun, Xie, Min-Min, Feng, Ying, Feng, Chong, Ma, Tai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Molecular Biosciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751187/
https://www.ncbi.nlm.nih.gov/pubmed/36533072
http://dx.doi.org/10.3389/fmolb.2022.937242

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751187/
https://www.ncbi.nlm.nih.gov/pubmed/36533072
http://dx.doi.org/10.3389/fmolb.2022.937242

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