A novel machine learning methodology for the systematic extraction of chronic kidney disease comorbidities from abstracts

BackgroundChronic Kidney Disease (CKD) is a global health concern and is frequently underdiagnosed due to its subtle initial symptoms, contributing to increasing morbidity and mortality. A comprehensive understanding of CKD comorbidities could lead to the identification of risk-groups, more effectiv...

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Bibliographic Details
Main Authors: Eszter Sághy, Mostafa Elsharkawy, Frank Moriarty, Sándor Kovács, István Wittmann, Antal Zemplényi
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Digital Health
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Online Access:https://www.frontiersin.org/articles/10.3389/fdgth.2025.1495879/full
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