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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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Dettagli Bibliografici
Pubblicato in:Sci Rep
Autori principali: Xu, Yucan, Ju, Lingsha, Tong, Jianhua, Zhou, Cheng-Mao, Yang, Jian-Jun
Natura: Artigo
Lingua:Inglês
Pubblicazione: Nature Publishing Group UK 2020
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7220939/
https://ncbi.nlm.nih.gov/pubmed/32054897
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-59115-y
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