APA (7th ed.) Citation

Ge, Y., Wang, G., Zhang, L., Miao, Y., Wu, H., Hu, Y., & Yin, C. (2026). Development of an interpretable machine learning model for predicting new-onset atrial fibrillation in patients with sepsis-associated acute kidney injury: A retrospective cohort study. Science Progress, 109(2), 1. https://doi.org/10.1177/00368504261442370

Chicago Style (17th ed.) Citation

Ge, Yuanshuo, Guangdong Wang, Linlin Zhang, Yang Miao, Hui Wu, Ye Hu, and Cunlin Yin. "Development of an Interpretable Machine Learning Model for Predicting New-onset Atrial Fibrillation in Patients with Sepsis-associated Acute Kidney Injury: A Retrospective Cohort Study." Science Progress 109, no. 2 (2026): 1. https://doi.org/10.1177/00368504261442370.

MLA (9th ed.) Citation

Ge, Yuanshuo, et al. "Development of an Interpretable Machine Learning Model for Predicting New-onset Atrial Fibrillation in Patients with Sepsis-associated Acute Kidney Injury: A Retrospective Cohort Study." Science Progress, vol. 109, no. 2, 2026, p. 1, https://doi.org/10.1177/00368504261442370.