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Interpretable web-based machine learning model for predicting intravenous immunoglobulin resistance in Kawasaki disease.

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Title: Interpretable web-based machine learning model for predicting intravenous immunoglobulin resistance in Kawasaki disease.
Authors: He, Ying1 (AUTHOR), Lin, Fan1 (AUTHOR), Zheng, Xin1 (AUTHOR), Chen, Qiaobin1 (AUTHOR), Xiao, Meng1 (AUTHOR), Lin, Xiaoting1 (AUTHOR), Huang, Hongbiao1 (AUTHOR) 403032197@qq.com
Source: Italian Journal of Pediatrics. 6/9/2025, Vol. 51 Issue 1, p1-17. 17p.
Database: Academic Search Ultimate
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An: 185783711
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  Data: Interpretable web-based machine learning model for predicting intravenous immunoglobulin resistance in Kawasaki disease.
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  Data: <searchLink fieldCode="JN" term="%22Italian+Journal+of+Pediatrics%22">Italian Journal of Pediatrics</searchLink>. 6/9/2025, Vol. 51 Issue 1, p1-17. 17p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=185783711
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1186/s13052-025-02036-1
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        Text: English
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      – TitleFull: Interpretable web-based machine learning model for predicting intravenous immunoglobulin resistance in Kawasaki disease.
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            NameFull: He, Ying
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            – D: 09
              M: 06
              Text: 6/9/2025
              Type: published
              Y: 2025
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