APA (7th ed.) Citation

S, N., TH, L., SP, C., GJ, S., SH, C., WY, K., . . . S, H. (2026). Early prediction of renal replacement therapy within 24 hours after septic shock recognition in the emergency department using machine learning: A retrospective analysis of a prospectively collected multicenter registry. BMC emergency medicine, 26(1), . https://doi.org/10.1186/s12873-026-01558-z

Chicago Style (17th ed.) Citation

S, Nah, et al. "Early Prediction of Renal Replacement Therapy Within 24 Hours After Septic Shock Recognition in the Emergency Department Using Machine Learning: A Retrospective Analysis of a Prospectively Collected Multicenter Registry." BMC Emergency Medicine 26, no. 1 (2026). https://doi.org/10.1186/s12873-026-01558-z.

MLA (9th ed.) Citation

S, Nah, et al. "Early Prediction of Renal Replacement Therapy Within 24 Hours After Septic Shock Recognition in the Emergency Department Using Machine Learning: A Retrospective Analysis of a Prospectively Collected Multicenter Registry." BMC Emergency Medicine, vol. 26, no. 1, 2026, https://doi.org/10.1186/s12873-026-01558-z.