Prospective validation of the NCI Breast Cancer Risk Assessment Tool (Gail Model) on 40,000 Australian women

Prospective validation of the NCI Breast Cancer Risk Assessment Tool (Gail Model) on 40,000 Australian women

Abstract Background There is a growing interest in delivering more personalised, risk-based breast cancer screening protocols. This requires population-level validation of practical models that can stratify women into breast cancer risk groups. Few studies have evaluated the Gail model (NCI Breast C...

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Bibliographic Details
Main Authors: Carolyn Nickson, Pietro Procopio, Louiza S. Velentzis, Sarah Carr, Lisa Devereux, Gregory Bruce Mann, Paul James, Grant Lee, Cameron Wellard, Ian Campbell
Format: Article
Language:English
Published: BMC 2018-12-01
Series:Breast Cancer Research
Subjects:
Breast cancer screening
Validation
Gail model
Breast Cancer Risk Assessment Tool
Machine learning
Invasive breast cancer
Online Access:http://link.springer.com/article/10.1186/s13058-018-1084-x

Internet

http://link.springer.com/article/10.1186/s13058-018-1084-x

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