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An interpretable machine learning model for predicting the risk of post-endoscopic retrograde cholangiopancreatography complications in elderly patients with choledocholithiasis.

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Title: An interpretable machine learning model for predicting the risk of post-endoscopic retrograde cholangiopancreatography complications in elderly patients with choledocholithiasis.
Authors: Zhang, Guanjun1 (AUTHOR), Meng, Ke1 (AUTHOR), Zhai, Yaqi1 (AUTHOR), Zhu, Min1 (AUTHOR), Han, Yuming1 (AUTHOR), Li, Mingyang1 (AUTHOR) mingyangli_pla@163.com
Source: Saudi Journal of Gastroenterology. May/Jun2026, Vol. 32 Issue 3, p228-240. 13p.
Database: Academic Search Ultimate
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PubType: Academic Journal
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  Data: An interpretable machine learning model for predicting the risk of post-endoscopic retrograde cholangiopancreatography complications in elderly patients with choledocholithiasis.
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  Data: <searchLink fieldCode="JN" term="%22Saudi+Journal+of+Gastroenterology%22">Saudi Journal of Gastroenterology</searchLink>. May/Jun2026, Vol. 32 Issue 3, p228-240. 13p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=193372113
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.4103/sjg.sjg_400_25
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 13
        StartPage: 228
    Titles:
      – TitleFull: An interpretable machine learning model for predicting the risk of post-endoscopic retrograde cholangiopancreatography complications in elderly patients with choledocholithiasis.
        Type: main
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          Name:
            NameFull: Zhang, Guanjun
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            NameFull: Meng, Ke
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            NameFull: Zhai, Yaqi
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            NameFull: Zhu, Min
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            NameFull: Han, Yuming
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            NameFull: Li, Mingyang
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            – D: 01
              M: 05
              Text: May/Jun2026
              Type: published
              Y: 2026
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              Value: 13193767
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              Value: 32
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              Value: 3
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            – TitleFull: Saudi Journal of Gastroenterology
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