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

Andrew TW, Alrawi M, Plummer R, Reynolds N, Sondak V, Brownell I, Lovat PE, Rose A, Shalhout SZ

Open source

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.

Show all credibility signals

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