Development and validation of prognostic models for anal cancer outcomes using distributed learning: protocol for the international multi-centre atomCAT2 study

Theophanous, S orcid.org/0000-0002-4148-3905, Lønne, P-I, Choudhury, A et al. (25 more authors) (2022) Development and validation of prognostic models for anal cancer outcomes using distributed learning: protocol for the international multi-centre atomCAT2 study. Diagnostic and Prognostic Research, 6 (1). 14. p. 14. ISSN 2397-7523

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Copyright, Publisher and Additional Information: © The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Keywords: Anal cancer, Squamous cell carcinoma, Chemoradiotherapy, Distributed learning, Federated learning, outcome modelling, Overall survival, Locoregional control, Freedom from distant metastasis
Dates:
  • Accepted: 9 June 2022
  • Published (online): 4 August 2022
  • Published: December 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Inst of Biomed & Clin Sciences (LIBACS) (Leeds)
Funding Information:
FunderGrant number
Yorkshire Cancer Research Account Ref: 2UOLEEDSNot Known
Cancer Research UK Supplier No: 138573A28832
Depositing User: Symplectic Publications
Date Deposited: 09 Aug 2022 13:51
Last Modified: 11 Jan 2023 11:20
Status: Published
Publisher: BMC
Identification Number: https://doi.org/10.1186/s41512-022-00128-8
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