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Prediction of moderate to severe bleeding risk in pediatric immune thrombocytopenia using machine learning.

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Title: Prediction of moderate to severe bleeding risk in pediatric immune thrombocytopenia using machine learning.
Authors: Shen, Xuelan1,2 (AUTHOR), Guo, Xiaoli1 (AUTHOR), Liu, Yang3 (AUTHOR), Pan, Xiaorong1 (AUTHOR), Li, Haisu4 (AUTHOR), Xiao, Jianwen1 (AUTHOR), Wu, Liping2,3 (AUTHOR) lipingwu@cqmu.edu.cn
Source: European Journal of Pediatrics. May2025, Vol. 184 Issue 5, p1-9. 9p.
Database: Academic Search Ultimate
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An: 184330072
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  Data: Prediction of moderate to severe bleeding risk in pediatric immune thrombocytopenia using machine learning.
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  Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Pediatrics%22">European Journal of Pediatrics</searchLink>. May2025, Vol. 184 Issue 5, p1-9. 9p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=184330072
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s00431-025-06123-7
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      – Code: eng
        Text: English
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      – TitleFull: Prediction of moderate to severe bleeding risk in pediatric immune thrombocytopenia using machine learning.
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            NameFull: Shen, Xuelan
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            NameFull: Li, Haisu
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            – D: 01
              M: 05
              Text: May2025
              Type: published
              Y: 2025
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