Assessing eligibility for lung cancer screening using parsimonious ensemble machine learning models: A development and validation study.

Callender T, Imrie F, Cebere B, Pashayan N, Navani N, van der Schaar M, Janes SM

DOI: 10.1371/journal.pmed.1004287
Published: 2023 Oct
Container: PLoS medicine
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pmed.1004287,
  title = {Assessing eligibility for lung cancer screening using parsimonious ensemble machine learning models: A development and validation study.},
  author = {Callender T and Imrie F and Cebere B and Pashayan N and Navani N and van der Schaar M and Janes SM},
  year = {2023},
  journal = {PLoS medicine},
  doi = {10.1371/journal.pmed.1004287},
  url = {https://doi.org/10.1371/journal.pmed.1004287}
}

RIS

TY  - JOUR
TI  - Assessing eligibility for lung cancer screening using parsimonious ensemble machine learning models: A development and validation study.
AU  - Callender T
AU  - Imrie F
AU  - Cebere B
AU  - Pashayan N
AU  - Navani N
AU  - van der Schaar M
AU  - Janes SM
PY  - 2023
JO  - PLoS medicine
DO  - 10.1371/journal.pmed.1004287
UR  - https://doi.org/10.1371/journal.pmed.1004287
ER  -

APA

T, C., F, I., B, C., N, P., N, N., M, V. D. S., & SM, J. (2023). Assessing eligibility for lung cancer screening using parsimonious ensemble machine learning models: A development and validation study.. PLoS medicine. https://doi.org/10.1371/journal.pmed.1004287

Source records

pubmed · retrieved 2026-09-25T05:48:47.531Z