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

BACKGROUND: Risk-based screening for lung cancer is currently being considered in several countries; however, the optimal approach to determine eligibility remains unclear. Ensemble machine learning could support the development of highly parsimonious prediction models that maintain the performance...

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Detalles Bibliográficos
Autores principales: Callender, Thomas, Imrie, Fergus, Cebere, Bogdan, Pashayan, Nora, Navani, Neal, van der Schaar, Mihaela, Janes, Sam M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547178/
https://www.ncbi.nlm.nih.gov/pubmed/37788223
http://dx.doi.org/10.1371/journal.pmed.1004287

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547178/
https://www.ncbi.nlm.nih.gov/pubmed/37788223
http://dx.doi.org/10.1371/journal.pmed.1004287

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