APA (7th ed.) Citation

Hu, X., Qi, D., Li, S., Ye, S., Chen, Y., Cao, W., . . . Fang, Y. (2025). Development and Validation of an Interpretable Machine Learning Model for Prediction of the Risk of Clinically Ineffective Reperfusion in Patients Following Thrombectomy for Ischemic Stroke. Therapeutics & Clinical Risk Management, 21, 621. https://doi.org/10.2147/TCRM.S520362

Chicago Style (17th ed.) Citation

Hu, Xiaolong, et al. "Development and Validation of an Interpretable Machine Learning Model for Prediction of the Risk of Clinically Ineffective Reperfusion in Patients Following Thrombectomy for Ischemic Stroke." Therapeutics & Clinical Risk Management 21 (2025): 621. https://doi.org/10.2147/TCRM.S520362.

MLA (9th ed.) Citation

Hu, Xiaolong, et al. "Development and Validation of an Interpretable Machine Learning Model for Prediction of the Risk of Clinically Ineffective Reperfusion in Patients Following Thrombectomy for Ischemic Stroke." Therapeutics & Clinical Risk Management, vol. 21, 2025, p. 621, https://doi.org/10.2147/TCRM.S520362.