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Assessing the methodological quality of machine learning approaches in diagnostic accuracy meta-analyses: Insights from a recent study of 109 articles.

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Title: Assessing the methodological quality of machine learning approaches in diagnostic accuracy meta-analyses: Insights from a recent study of 109 articles.
Authors: Filis, Panagiotis1 (AUTHOR) panagiotis.filis@ki.se, Foukakis, Theodoros (AUTHOR)
Source: European Journal of Cancer. May2026, Vol. 239, pN.PAG-N.PAG. 1p.
Database: Academic Search Ultimate
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DbLabel: Academic Search Ultimate
An: 193390013
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PubType: Academic Journal
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  Data: Assessing the methodological quality of machine learning approaches in diagnostic accuracy meta-analyses: Insights from a recent study of 109 articles.
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  Data: <searchLink fieldCode="AR" term="%22Filis%2C+Panagiotis%22">Filis, Panagiotis</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> panagiotis.filis@ki.se</i><br /><searchLink fieldCode="AR" term="%22Foukakis%2C+Theodoros%22">Foukakis, Theodoros</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Cancer%22">European Journal of Cancer</searchLink>. May2026, Vol. 239, pN.PAG-N.PAG. 1p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=193390013
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.ejca.2026.116747
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      – Code: eng
        Text: English
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      – TitleFull: Assessing the methodological quality of machine learning approaches in diagnostic accuracy meta-analyses: Insights from a recent study of 109 articles.
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              Text: May2026
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              Y: 2026
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