A hybrid machine learning approach for the personalized prognostication of aggressive skin cancers.
- DOI
- 10.1038/s41746-024-01329-9
- Published
- 2025 Jan 8
- Container
- NPJ digital medicine
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1038/s41746-024-01329-9,
title = {A hybrid machine learning approach for the personalized prognostication of aggressive skin cancers.},
author = {Andrew TW and Alrawi M and Plummer R and Reynolds N and Sondak V and Brownell I and Lovat PE and Rose A and Shalhout SZ},
year = {2025},
journal = {NPJ digital medicine},
doi = {10.1038/s41746-024-01329-9},
url = {https://doi.org/10.1038/s41746-024-01329-9}
}RIS
TY - JOUR TI - A hybrid machine learning approach for the personalized prognostication of aggressive skin cancers. AU - Andrew TW AU - Alrawi M AU - Plummer R AU - Reynolds N AU - Sondak V AU - Brownell I AU - Lovat PE AU - Rose A AU - Shalhout SZ PY - 2025 JO - NPJ digital medicine DO - 10.1038/s41746-024-01329-9 UR - https://doi.org/10.1038/s41746-024-01329-9 ER -
APA
TW, A., M, A., R, P., N, R., V, S., I, B., PE, L., A, R., & SZ, S. (2025). A hybrid machine learning approach for the personalized prognostication of aggressive skin cancers.. NPJ digital medicine. https://doi.org/10.1038/s41746-024-01329-9
Source records
- pubmed · retrieved 2026-09-26T22:58:52.103Z
- europe-pmc · retrieved 2026-09-26T22:58:52.116Z
- doaj · retrieved 2026-09-26T22:58:52.111Z