Evaluation of machine learning algorithms for the prognosis of breast cancer from the Surveillance, Epidemiology, and End Results database

Evaluation of machine learning algorithms for the prognosis of breast cancer from the Surveillance, Epidemiology, and End Results database

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<h4>Introduction</h4> Many researchers used machine learning (ML) to predict the prognosis of breast cancer (BC) patients and noticed that the ML model had good individualized prediction performance. <h4>Objective</h4> The cohort study was intended to establish a reliable dat...

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Bibliographic Details
Main Authors: Ruiyang Wu, Jing Luo, Hangyu Wan, Haiyan Zhang, Yewei Yuan, Huihua Hu, Jinyan Feng, Jing Wen, Yan Wang, Junyan Li, Qi Liang, Fengjiao Gan, Gang Zhang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9879508/?tool=EBI

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