Machine Learning in Colorectal Cancer Risk Prediction from Routinely Collected Data: A Review

Machine Learning in Colorectal Cancer Risk Prediction from Routinely Collected Data: A Review

The inclusion of machine-learning-derived models in systematic reviews of risk prediction models for colorectal cancer is rare. Whilst such reviews have highlighted methodological issues and limited performance of the models included, it is unclear why machine-learning-derived models are absent and...

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Bibliographic Details
Main Authors: Bruce Burnett, Shang-Ming Zhou, Sinead Brophy, Phil Davies, Paul Ellis, Jonathan Kennedy, Amrita Bandyopadhyay, Michael Parker, Ronan A. Lyons
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Diagnostics
Subjects:
machine learning
colorectal cancer
risk prediction
scoping review
Online Access:https://www.mdpi.com/2075-4418/13/2/301

Internet

https://www.mdpi.com/2075-4418/13/2/301

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