APA (7th ed.) Citation

AR, D., CM, S., Y, F., RA, M., Y, Z., WG, H., . . . KL, C. (2026). Development and Validation of Models for Preoperative Prediction of Risk and Postoperative Detection of Noninfectious Complications Using Interpretable Machine Learning and Electronic Health Record Data. Annals of surgery, 284(2), 273. https://doi.org/10.1097/SLA.0000000000006709

Chicago Style (17th ed.) Citation

AR, Dyas, Stuart CM, Fei Y, Meguid RA, Zhuang Y, Henderson WG, Bronsert MR, and Colborn KL. "Development and Validation of Models for Preoperative Prediction of Risk and Postoperative Detection of Noninfectious Complications Using Interpretable Machine Learning and Electronic Health Record Data." Annals of Surgery 284, no. 2 (2026): 273. https://doi.org/10.1097/SLA.0000000000006709.

MLA (9th ed.) Citation

AR, Dyas, et al. "Development and Validation of Models for Preoperative Prediction of Risk and Postoperative Detection of Noninfectious Complications Using Interpretable Machine Learning and Electronic Health Record Data." Annals of Surgery, vol. 284, no. 2, 2026, p. 273, https://doi.org/10.1097/SLA.0000000000006709.