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

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Title: Assessing eligibility for lung cancer screening using parsimonious ensemble machine learning models: A development and validation study.
Authors: Callender, Thomas1 (AUTHOR) t.callender@ucl.ac.uk, Imrie, Fergus2 (AUTHOR), Cebere, Bogdan3 (AUTHOR), Pashayan, Nora4 (AUTHOR), Navani, Neal1 (AUTHOR), van der Schaar, Mihaela3,5,6 (AUTHOR), Janes, Sam M.1 (AUTHOR)
Source: PLoS Medicine. 10/3/2023, Vol. 20 Issue 10, p1-18. 18p. 4 Charts, 3 Graphs.
Database: Academic Search Ultimate
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  Data: Assessing eligibility for lung cancer screening using parsimonious ensemble machine learning models: A development and validation study.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Medicine%22">PLoS Medicine</searchLink>. 10/3/2023, Vol. 20 Issue 10, p1-18. 18p. 4 Charts, 3 Graphs.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=172759265
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        Value: 10.1371/journal.pmed.1004287
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        Text: English
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              Text: 10/3/2023
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              Y: 2023
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