Assessing the feasibility of early cancer detection using routine laboratory data: an evaluation of machine learning approaches on an imbalanced dataset
Crossref DOI link: https://doi.org/10.1186/s44356-025-00054-z
Published Online: 2026-02-01
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Li, Shumin
Text and Data Mining valid from 2026-02-01
Version of Record valid from 2026-02-01
Article History
Received: 22 August 2025
Accepted: 2 December 2025
First Online: 1 February 2026
Declarations
:
: Not applicable.