APA (7th ed.) Citation

Zhu, Y., Feng, J., Liu, R., Ren, W., Ma, X., Wang, N., . . . Kong, F. (2026). Building and validating machine learning models to predict appendiceal perforation during conservative treatment of fecalith-associated appendicitis: A 20-algorithm multicenter retrospective analysis. Scientific Reports, 16(1), 1. https://doi.org/10.1038/s41598-026-47372-2

Chicago Style (17th ed.) Citation

Zhu, Youlong, Jiawei Feng, Ruming Liu, Wang Ren, Xiao Ma, Ning Wang, Longbo Gong, and Feifei Kong. "Building and Validating Machine Learning Models to Predict Appendiceal Perforation During Conservative Treatment of Fecalith-associated Appendicitis: A 20-algorithm Multicenter Retrospective Analysis." Scientific Reports 16, no. 1 (2026): 1. https://doi.org/10.1038/s41598-026-47372-2.

MLA (9th ed.) Citation

Zhu, Youlong, et al. "Building and Validating Machine Learning Models to Predict Appendiceal Perforation During Conservative Treatment of Fecalith-associated Appendicitis: A 20-algorithm Multicenter Retrospective Analysis." Scientific Reports, vol. 16, no. 1, 2026, p. 1, https://doi.org/10.1038/s41598-026-47372-2.