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Diagnosing growing pains in children by using machine learning: a cross-sectional multicenter study.

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Title: Diagnosing growing pains in children by using machine learning: a cross-sectional multicenter study.
Authors: Akal, Fuat1, Batu, Ezgi D.2,3, ezgidenizbatu@yahoo.com, Sonmez, Hafize Emine4, Karadağ, Şerife G.4, Demir, Ferhat5, Ayaz, Nuray Aktay4, Sözeri, Betül5
Source: Medical & Biological Engineering & Computing; Dec2022, Vol. 60 Issue 12, p3601-3614, 14p, 2 Color Photographs, 1 Diagram, 5 Charts, 4 Graphs
Database: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22Medical+%26+Biological+Engineering+%26+Computing%22">Medical & Biological Engineering & Computing</searchLink>; Dec2022, Vol. 60 Issue 12, p3601-3614, 14p, 2 Color Photographs, 1 Diagram, 5 Charts, 4 Graphs
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s11517-022-02699-6
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 3601
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      – TitleFull: Diagnosing growing pains in children by using machine learning: a cross-sectional multicenter study.
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            NameFull: Akal, Fuat
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            NameFull: Batu, Ezgi D.
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            NameFull: Sonmez, Hafize Emine
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            NameFull: Karadağ, Şerife G.
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            NameFull: Demir, Ferhat
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            NameFull: Ayaz, Nuray Aktay
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            NameFull: Sözeri, Betül
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            – D: 01
              M: 12
              Text: Dec2022
              Type: published
              Y: 2022
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              Value: 60
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