Journal article
Development and internal-external validation of statistical and machine learning models for breast cancer prognostication: cohort study
- Abstract:
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Objective To develop a clinically useful model that estimates the 10 year risk of breast cancer related mortality in women (self-reported female sex) with breast cancer of any stage, comparing results from regression and machine learning approaches.
Design Population based cohort study.
Setting QResearch primary care database in England, with individual level linkage to the national cancer registry, Hospital Episodes Statistics,... Expand abstract
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 1.6MB, Terms of use)
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- Publisher copy:
- 10.1136/bmj-2022-073800
Authors
- Publisher:
- BMJ Publishing Group
- Journal:
- BMJ More from this journal
- Volume:
- 2023
- Issue:
- 381
- Article number:
- e073800
- Publication date:
- 2023-05-10
- Acceptance date:
- 2023-03-28
- DOI:
- EISSN:
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1756-1833
- Language:
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English
- Keywords:
- Pubs id:
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1340673
- Local pid:
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pubs:1340673
- Deposit date:
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2023-05-11
- ARK identifier:
Terms of use
- Copyright holder:
- BMJ Publishing Group
- Copyright date:
- 2023
- Rights statement:
- © 2023, BMJ Publishing Group Ltd. This is an open access article distributed under the terms of the Creative Commons CC BY 4.0 license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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