Determination of Survival of Gastric Cancer Patients With Distant Lymph Node Metastasis Using Prealbumin Level and Prothrombin Time: Contour Plots Based on Random Survival Forest Algorithm on High-Dimensionality Clinical and Laboratory Datasets

PURPOSE: This study aimed to identify prognostic factors for patients with distant lymph node-involved gastric cancer (GC) using a machine learning algorithm, a method that offers considerable advantages and new prospects for high-dimensional biomedical data exploration. MATERIALS AND METHODS: This...

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Detalles Bibliográficos
Autores principales: Zhang, Cheng, Xie, Minmin, Zhang, Yi, Zhang, Xiaopeng, Feng, Chong, Wu, Zhijun, Feng, Ying, Yang, Yahui, Xu, Hui, Ma, Tai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Gastric Cancer Association 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9091455/
https://www.ncbi.nlm.nih.gov/pubmed/35534449
http://dx.doi.org/10.5230/jgc.2022.22.e12

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9091455/
https://www.ncbi.nlm.nih.gov/pubmed/35534449
http://dx.doi.org/10.5230/jgc.2022.22.e12

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