Assessing eligibility for lung cancer screening using parsimonious ensemble machine learning models: A development and validation study.
<h4>Background</h4>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 mainta...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2023-10-01
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| Series: | PLoS Medicine |
| Online Access: | https://journals.plos.org/plosmedicine/article/file?id=10.1371/journal.pmed.1004287&type=printable |
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