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Machine learning to predict adverse outcomes after cardiac surgery: A systematic review and meta‐analysis.

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Title: Machine learning to predict adverse outcomes after cardiac surgery: A systematic review and meta‐analysis.
Authors: Penny‐Dimri, Jahan C.1 (AUTHOR) jahan.penny-dimri@monash.edu, Bergmeir, Christoph2 (AUTHOR), Perry, Luke3,4 (AUTHOR), Hayes, Linley5 (AUTHOR), Bellomo, Rinaldo4,6,7,8 (AUTHOR), Smith, Julian A.1 (AUTHOR)
Source: Journal of Cardiac Surgery. Nov2022, Vol. 37 Issue 11, p3838-3845. 8p. 2 Diagrams, 2 Charts, 3 Graphs.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Cardiac+Surgery%22">Journal of Cardiac Surgery</searchLink>. Nov2022, Vol. 37 Issue 11, p3838-3845. 8p. 2 Diagrams, 2 Charts, 3 Graphs.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=159614649
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        Value: 10.1111/jocs.16842
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      – Code: eng
        Text: English
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        PageCount: 8
        StartPage: 3838
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      – TitleFull: Machine learning to predict adverse outcomes after cardiac surgery: A systematic review and meta‐analysis.
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            NameFull: Bergmeir, Christoph
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            NameFull: Perry, Luke
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            NameFull: Hayes, Linley
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            – D: 01
              M: 11
              Text: Nov2022
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              Y: 2022
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