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A Semi-Supervised Graph Convolutional Network for Early Prediction of Motor Abnormalities in Very Preterm Infants.

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Title: A Semi-Supervised Graph Convolutional Network for Early Prediction of Motor Abnormalities in Very Preterm Infants.
Authors: Li, Hailong1,2,3,4 (AUTHOR), Li, Zhiyuan1,5 (AUTHOR), Du, Kevin1 (AUTHOR), Zhu, Yu1 (AUTHOR), Parikh, Nehal A.3,6 (AUTHOR), He, Lili1,2,3,4,5 (AUTHOR) lili.he@cchmc.org
Source: Diagnostics (2075-4418). Apr2023, Vol. 13 Issue 8, p1508. 14p.
Database: Academic Search Ultimate
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  Data: A Semi-Supervised Graph Convolutional Network for Early Prediction of Motor Abnormalities in Very Preterm Infants.
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  Data: <searchLink fieldCode="JN" term="%22Diagnostics+%282075-4418%29%22">Diagnostics (2075-4418)</searchLink>. Apr2023, Vol. 13 Issue 8, p1508. 14p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=163382832
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3390/diagnostics13081508
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      – Code: eng
        Text: English
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        PageCount: 14
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      – TitleFull: A Semi-Supervised Graph Convolutional Network for Early Prediction of Motor Abnormalities in Very Preterm Infants.
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            NameFull: Li, Hailong
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            NameFull: Zhu, Yu
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            NameFull: Parikh, Nehal A.
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            NameFull: He, Lili
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            – D: 15
              M: 04
              Text: Apr2023
              Type: published
              Y: 2023
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              Value: 13
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