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Prediction of Perforated and Nonperforated Acute Appendicitis Using Machine Learning-Based Explainable Artificial Intelligence.

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Title: Prediction of Perforated and Nonperforated Acute Appendicitis Using Machine Learning-Based Explainable Artificial Intelligence.
Authors: Akbulut, Sami1,2 (AUTHOR) akbulutsami@gmail.com, Yagin, Fatma Hilal2 (AUTHOR), Cicek, Ipek Balikci2 (AUTHOR), Koc, Cemalettin1 (AUTHOR), Colak, Cemil2 (AUTHOR), Yilmaz, Sezai1 (AUTHOR)
Source: Diagnostics (2075-4418). Mar2023, Vol. 13 Issue 6, p1173. 14p.
Database: Academic Search Ultimate
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  Data: Prediction of Perforated and Nonperforated Acute Appendicitis Using Machine Learning-Based Explainable Artificial Intelligence.
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  Data: <searchLink fieldCode="JN" term="%22Diagnostics+%282075-4418%29%22">Diagnostics (2075-4418)</searchLink>. Mar2023, Vol. 13 Issue 6, p1173. 14p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=162748758
RecordInfo BibRecord:
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        Value: 10.3390/diagnostics13061173
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 1173
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      – TitleFull: Prediction of Perforated and Nonperforated Acute Appendicitis Using Machine Learning-Based Explainable Artificial Intelligence.
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            NameFull: Akbulut, Sami
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            NameFull: Yagin, Fatma Hilal
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            NameFull: Cicek, Ipek Balikci
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              Text: Mar2023
              Type: published
              Y: 2023
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