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. |
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| 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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| ISSN: | 1424-8247 |
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| DOI: | 10.3390/ph18111659 |
