APA (7th ed.) Citation

P, M., GS, K., & L, N. (2026). Comment on "an interpretable machine learning tool for predicting perioperative cardiac events in patients scheduled for hip fracture surgery: Insights from the multicenter LUSHIP study". Journal of anesthesia, analgesia and critical care, 6(1), . https://doi.org/10.1186/s44158-026-00380-0

Chicago Style (17th ed.) Citation

P, Mayasala, Kumar GS, and Neelu L. "Comment on "an Interpretable Machine Learning Tool for Predicting Perioperative Cardiac Events in Patients Scheduled for Hip Fracture Surgery: Insights from the Multicenter LUSHIP Study"." Journal of Anesthesia, Analgesia and Critical Care 6, no. 1 (2026). https://doi.org/10.1186/s44158-026-00380-0.

MLA (9th ed.) Citation

P, Mayasala, et al. "Comment on "an Interpretable Machine Learning Tool for Predicting Perioperative Cardiac Events in Patients Scheduled for Hip Fracture Surgery: Insights from the Multicenter LUSHIP Study"." Journal of Anesthesia, Analgesia and Critical Care, vol. 6, no. 1, 2026, https://doi.org/10.1186/s44158-026-00380-0.