Generation of machine-learning derived cancer vulnerability indicator to determine the spatial burden of cancer outcomes.

Kou K, Cameron J, Dasgupta P, Chen H, Baade PD

DOI: 10.1371/journal.pone.0319539
Published: 2026
Container: PloS one
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0319539,
  title = {Generation of machine-learning derived cancer vulnerability indicator to determine the spatial burden of cancer outcomes.},
  author = {Kou K and Cameron J and Dasgupta P and Chen H and Baade PD},
  year = {2026},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0319539},
  url = {https://doi.org/10.1371/journal.pone.0319539}
}

RIS

TY  - JOUR
TI  - Generation of machine-learning derived cancer vulnerability indicator to determine the spatial burden of cancer outcomes.
AU  - Kou K
AU  - Cameron J
AU  - Dasgupta P
AU  - Chen H
AU  - Baade PD
PY  - 2026
JO  - PloS one
DO  - 10.1371/journal.pone.0319539
UR  - https://doi.org/10.1371/journal.pone.0319539
ER  -

APA

K, K., J, C., P, D., H, C., & PD, B. (2026). Generation of machine-learning derived cancer vulnerability indicator to determine the spatial burden of cancer outcomes.. PloS one. https://doi.org/10.1371/journal.pone.0319539

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pubmed · retrieved 2026-09-25T19:05:09.954Z