Yagin, F.H.; Inceoglu, F.; Colak, C.; Alkhalifa, A.K.; Alzakari, S.A.; Aghaei, M.
Machine Learning-Integrated Explainable Artificial Intelligence Approach for Predicting Steroid Resistance in Pediatric Nephrotic Syndrome: A Metabolomic Biomarker Discovery Study. Pharmaceuticals 2025, 18, 1659.
https://doi.org/10.3390/ph18111659
AMA Style
Yagin FH, Inceoglu F, Colak C, Alkhalifa AK, Alzakari SA, Aghaei M.
Machine Learning-Integrated Explainable Artificial Intelligence Approach for Predicting Steroid Resistance in Pediatric Nephrotic Syndrome: A Metabolomic Biomarker Discovery Study. Pharmaceuticals. 2025; 18(11):1659.
https://doi.org/10.3390/ph18111659
Chicago/Turabian Style
Yagin, Fatma Hilal, Feyza Inceoglu, Cemil Colak, Amal K. Alkhalifa, Sarah A. Alzakari, and Mohammadreza Aghaei.
2025. "Machine Learning-Integrated Explainable Artificial Intelligence Approach for Predicting Steroid Resistance in Pediatric Nephrotic Syndrome: A Metabolomic Biomarker Discovery Study" Pharmaceuticals 18, no. 11: 1659.
https://doi.org/10.3390/ph18111659
APA Style
Yagin, F. H., Inceoglu, F., Colak, C., Alkhalifa, A. K., Alzakari, S. A., & Aghaei, M.
(2025). Machine Learning-Integrated Explainable Artificial Intelligence Approach for Predicting Steroid Resistance in Pediatric Nephrotic Syndrome: A Metabolomic Biomarker Discovery Study. Pharmaceuticals, 18(11), 1659.
https://doi.org/10.3390/ph18111659
