APA (7th ed.) Citation

Z, X., Y, Z., & H, Z. (2026). Identification of BMI-related high-risk feature combinations for diabetes among young adults with normal baseline fasting plasma glucose using interpretable machine learning: A health check-up cohort study. Frontiers in endocrinology, 17, 1850071. https://doi.org/10.3389/fendo.2026.1850071

Chicago Style (17th ed.) Citation

Z, Xu, Zhang Y, and Zhang H. "Identification of BMI-related High-risk Feature Combinations for Diabetes Among Young Adults with Normal Baseline Fasting Plasma Glucose Using Interpretable Machine Learning: A Health Check-up Cohort Study." Frontiers in Endocrinology 17 (2026): 1850071. https://doi.org/10.3389/fendo.2026.1850071.

MLA (9th ed.) Citation

Z, Xu, et al. "Identification of BMI-related High-risk Feature Combinations for Diabetes Among Young Adults with Normal Baseline Fasting Plasma Glucose Using Interpretable Machine Learning: A Health Check-up Cohort Study." Frontiers in Endocrinology, vol. 17, 2026, p. 1850071, https://doi.org/10.3389/fendo.2026.1850071.