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Predicting COVID-19 mortality risk in Toronto, Canada: a comparison of tree-based and regression-based machine learning methods.

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Title: Predicting COVID-19 mortality risk in Toronto, Canada: a comparison of tree-based and regression-based machine learning methods.
Authors: Feng, Cindy1 (AUTHOR) cindy.feng@dal.ca, Kephart, George1 (AUTHOR), Juarez-Colunga, Elizabeth2 (AUTHOR)
Source: BMC Medical Research Methodology. 11/27/2021, Vol. 21 Issue 1, p1-14. 14p.
Database: Academic Search Ultimate
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PubType: Academic Journal
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  Data: Predicting COVID-19 mortality risk in Toronto, Canada: a comparison of tree-based and regression-based machine learning methods.
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  Data: <searchLink fieldCode="JN" term="%22BMC+Medical+Research+Methodology%22">BMC Medical Research Methodology</searchLink>. 11/27/2021, Vol. 21 Issue 1, p1-14. 14p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=153818246
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1186/s12874-021-01441-4
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 1
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      – TitleFull: Predicting COVID-19 mortality risk in Toronto, Canada: a comparison of tree-based and regression-based machine learning methods.
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            NameFull: Feng, Cindy
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            NameFull: Kephart, George
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            NameFull: Juarez-Colunga, Elizabeth
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            – D: 27
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              Text: 11/27/2021
              Type: published
              Y: 2021
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              Value: 21
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