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A hybrid machine learning approach for the personalized prognostication of aggressive skin cancers

Lookup NU author(s): Dr Tom Andrew, Professor Ruth Plummer, Professor Nick ReynoldsORCiD, Guin Brownell, Professor Penny Lovat, Aidan Rose

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

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Author(s): Andrew TW, Alrawi M, Plummer R, Reynolds N, Sondak V, Brownell I, Lovat PE, Rose A, Shalout SZ

Publication type: Article

Publication status: Published

Journal: npj Digital Medicine

Year: 2025

Volume: 8

Online publication date: 08/01/2025

Acceptance date: 05/11/2024

Date deposited: 05/02/2025

ISSN (electronic): 2398-6352

Publisher: Springer Nature

URL: https://doi.org/10.1038/s41746-024-01329-9

DOI: 10.1038/s41746-024-01329-9

Data Access Statement: Data collected for this study, including individual participant data and a data dictionary defining each field in the dataset, will be made available upon request. The data to be shared will include deidentified participant data and the data dictionary. Related documents, such as the study protocol and statistical analysis plan, will also be available. These data will be accessible beginning from the publication date of this manuscript. Requests for access to the data should be sent to the corresponding author. Access to the data will be granted upon approval of a data access request, which will be reviewed by the authors. Additional restrictions may apply depending on the nature of the analysis and the intended use of the data.

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