Robust Machine Learning for Colorectal Cancer Risk Prediction and Stratification

Robust Machine Learning for Colorectal Cancer Risk Prediction and Stratification

While colorectal cancer (CRC) is third in prevalence and mortality among cancers in the United States, there is no effective method to screen the general public for CRC risk. In this study, to identify an effective mass screening method for CRC risk, we evaluated seven supervised machine learning al...

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Bibliographic Details
Main Authors: Bradley J. Nartowt, Gregory R. Hart, Wazir Muhammad, Ying Liang, Gigi F. Stark, Jun Deng
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-03-01
Series:Frontiers in Big Data
Subjects:
colorectal cancer
risk stratification
neural network
concordance
self-reportable health data
external validation
Online Access:https://www.frontiersin.org/article/10.3389/fdata.2020.00006/full

Internet

https://www.frontiersin.org/article/10.3389/fdata.2020.00006/full

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