R., S. (2025). Machine Learning-driven Identification of the Honeymoon Phase in Pediatric Type 1 Diabetes and Optimizing Insulin Management. Journal of Clinical Research in Pediatric Endocrinology, 17(3), 278. https://doi.org/10.4274/jcrpe.galenos.2025.2024-8-13
Chicago Style (17th ed.) CitationR., Satheeskumar. "Machine Learning-driven Identification of the Honeymoon Phase in Pediatric Type 1 Diabetes and Optimizing Insulin Management." Journal of Clinical Research in Pediatric Endocrinology 17, no. 3 (2025): 278. https://doi.org/10.4274/jcrpe.galenos.2025.2024-8-13.
MLA (9th ed.) CitationR., Satheeskumar. "Machine Learning-driven Identification of the Honeymoon Phase in Pediatric Type 1 Diabetes and Optimizing Insulin Management." Journal of Clinical Research in Pediatric Endocrinology, vol. 17, no. 3, 2025, p. 278, https://doi.org/10.4274/jcrpe.galenos.2025.2024-8-13.