Cita APA (7a ed.)
Chauhan, K., Sathyapalan, T., Malabu, U., Joshi, S. R., Singh, S. K., & Deshmukh, H. (2025, July). Machine learning identifies waist-height ratio (WHtR) as the strongest determinant of diabetes and prediabetes in children and adolescents:  A comprehensive national nutrition survey. International Journal of Diabetes in Developing Countries, 1.
Cita Chicago Style (17a ed.)
Chauhan, Kirti, Thozhukat Sathyapalan, Usman Malabu, Shashank Rameshchandra Joshi, Shri Kant Singh, y Harshal Deshmukh. "Machine Learning Identifies Waist-height Ratio (WHtR) as the Strongest Determinant of Diabetes and Prediabetes in Children and Adolescents:  A comprehensive National Nutrition Survey." International Journal of Diabetes in Developing Countries Jul. 2025: 1.
Cita MLA (9a ed.)
Chauhan, Kirti, et al. "Machine Learning Identifies Waist-height Ratio (WHtR) as the Strongest Determinant of Diabetes and Prediabetes in Children and Adolescents:  A comprehensive National Nutrition Survey." International Journal of Diabetes in Developing Countries, Jul. 2025, p. 1.
Precaución: Estas citas no son 100% exactas.