G, C., M, L., D, S., A, G., K, K., & A, P. (2026). Identifying Clinical Predictors of Diabetes and Prediabetes: An Explainable AI Approach Using Primary Care Electronic Medical Records. Studies in health technology and informatics, 336, 665. https://doi.org/10.3233/SHTI260254
Chicago Style (17th ed.) CitationG, Carpani, Lenatti M, Simeone D, Guergachi A, Keshavjee K, and Paglialonga A. "Identifying Clinical Predictors of Diabetes and Prediabetes: An Explainable AI Approach Using Primary Care Electronic Medical Records." Studies in Health Technology and Informatics 336 (2026): 665. https://doi.org/10.3233/SHTI260254.
MLA (9th ed.) CitationG, Carpani, et al. "Identifying Clinical Predictors of Diabetes and Prediabetes: An Explainable AI Approach Using Primary Care Electronic Medical Records." Studies in Health Technology and Informatics, vol. 336, 2026, p. 665, https://doi.org/10.3233/SHTI260254.