APA (7th ed.) Citation

JTY, S., LF, T., RYH, S., WB, H., AH, D., HW, S., . . . ML, F. (2024). Development and validation of machine learning-derived frailty index in predicting outcomes of patients undergoing percutaneous coronary intervention. International journal of cardiology. Heart & vasculature, 55, 101511. https://doi.org/10.1016/j.ijcha.2024.101511

Chicago Style (17th ed.) Citation

JTY, Soong, et al. "Development and Validation of Machine Learning-derived Frailty Index in Predicting Outcomes of Patients Undergoing Percutaneous Coronary Intervention." International Journal of Cardiology. Heart & Vasculature 55 (2024): 101511. https://doi.org/10.1016/j.ijcha.2024.101511.

MLA (9th ed.) Citation

JTY, Soong, et al. "Development and Validation of Machine Learning-derived Frailty Index in Predicting Outcomes of Patients Undergoing Percutaneous Coronary Intervention." International Journal of Cardiology. Heart & Vasculature, vol. 55, 2024, p. 101511, https://doi.org/10.1016/j.ijcha.2024.101511.