Developing a random forest algorithm to identify patent foramen ovale and atrial septal defects in Ontario administrative databases.

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Title: Developing a random forest algorithm to identify patent foramen ovale and atrial septal defects in Ontario administrative databases.
Authors: Oliva, Laura1, Horlick, Eric2,3, Wang, Bo2,3,4,5, Huszti, Ella1,6, Hall, Ruth1,7, Abrahamyan, Lusine1,8,9 lusine.abrahamyan@utoronto.ca
Source: BMC Medical Informatics & Decision Making. 4/6/2022, Vol. 22 Issue 1, p1-9. 9p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22BMC+Medical+Informatics+%26+Decision+Making%22">BMC Medical Informatics & Decision Making</searchLink>. 4/6/2022, Vol. 22 Issue 1, p1-9. 9p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=156635964
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        Value: 10.1186/s12911-022-01837-2
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        Text: English
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      – TitleFull: Developing a random forest algorithm to identify patent foramen ovale and atrial septal defects in Ontario administrative databases.
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              Text: 4/6/2022
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              Y: 2022
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