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Machine Learning-Integrated Explainable Artificial Intelligence Approach for Predicting Steroid Resistance in Pediatric Nephrotic Syndrome: A Metabolomic Biomarker Discovery Study.

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Title: Machine Learning-Integrated Explainable Artificial Intelligence Approach for Predicting Steroid Resistance in Pediatric Nephrotic Syndrome: A Metabolomic Biomarker Discovery Study.
Authors: Yagin FH; Department of Biostatistics, Faculty of Medicine, Malatya Turgut Ozal University, 44280 Malatya, Türkiye.; Department of Computer Science, Lakehead University, Thunder Bay, ON P7B 5E1, Canada., Inceoglu F; Department of Biostatistics, Faculty of Medicine, Malatya Turgut Ozal University, 44280 Malatya, Türkiye., Colak C; Department of Biostatistics and Medical Informatics, Faculty of Medicine, Inonu University, 44280 Malatya, Türkiye., Alkhalifa AK; Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia., Alzakari SA; Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia., Aghaei M; Department of Ocean Operations and Civil Engineering, Norwegian University of Science and Technology (NTNU), 6002 Alesund, Norway.
Source: Pharmaceuticals (Basel, Switzerland) [Pharmaceuticals (Basel)] 2025 Nov 01; Vol. 18 (11). Date of Electronic Publication: 2025 Nov 01.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101238453 Publication Model: Electronic Cited Medium: Print ISSN: 1424-8247 (Print) Linking ISSN: 14248247 NLM ISO Abbreviation: Pharmaceuticals (Basel) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Machine Learning-Integrated Explainable Artificial Intelligence Approach for Predicting Steroid Resistance in Pediatric Nephrotic Syndrome: A Metabolomic Biomarker Discovery Study.
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  Data: <searchLink fieldCode="AU" term="%22Yagin+FH%22">Yagin FH</searchLink>; Department of Biostatistics, Faculty of Medicine, Malatya Turgut Ozal University, 44280 Malatya, Türkiye.; Department of Computer Science, Lakehead University, Thunder Bay, ON P7B 5E1, Canada.<br /><searchLink fieldCode="AU" term="%22Inceoglu+F%22">Inceoglu F</searchLink>; Department of Biostatistics, Faculty of Medicine, Malatya Turgut Ozal University, 44280 Malatya, Türkiye.<br /><searchLink fieldCode="AU" term="%22Colak+C%22">Colak C</searchLink>; Department of Biostatistics and Medical Informatics, Faculty of Medicine, Inonu University, 44280 Malatya, Türkiye.<br /><searchLink fieldCode="AU" term="%22Alkhalifa+AK%22">Alkhalifa AK</searchLink>; Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Alzakari+SA%22">Alzakari SA</searchLink>; Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Aghaei+M%22">Aghaei M</searchLink>; Department of Ocean Operations and Civil Engineering, Norwegian University of Science and Technology (NTNU), 6002 Alesund, Norway.
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  Data: <searchLink fieldCode="JN" term="%22101238453%22">Pharmaceuticals (Basel, Switzerland)</searchLink> [Pharmaceuticals (Basel)] 2025 Nov 01; Vol. 18 (11). <i>Date of Electronic Publication: </i>2025 Nov 01.
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