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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2023
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| Materias: | |
| 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 |