Machine Learning Algorithms for Predicting the Recurrence of Stage IV Colorectal Cancer After Tumor Resection

The aim of this study is to explore the feasibility of using machine learning (ML) technology to predict postoperative recurrence risk among stage IV colorectal cancer patients. Four basic ML algorithms were used for prediction—logistic regression, decision tree, GradientBoosting and lightGBM. The r...

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Detalles Bibliográficos
Autores principales: Xu, Yucan, Ju, Lingsha, Tong, Jianhua, Zhou, Cheng-Mao, Yang, Jian-Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7220939/
https://www.ncbi.nlm.nih.gov/pubmed/32054897
http://dx.doi.org/10.1038/s41598-020-59115-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7220939/
https://www.ncbi.nlm.nih.gov/pubmed/32054897
http://dx.doi.org/10.1038/s41598-020-59115-y

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