Prediction of futile recanalisation after endovascular treatment in acute ischaemic stroke: development and validation of a hybrid machine learning model.

MLA

Nie, Ximing, et al. “Prediction of Futile Recanalisation after Endovascular Treatment in Acute Ischaemic Stroke: Development and Validation of a Hybrid Machine Learning Model.” Stroke and Vascular Neurology, vol. 9, no. 6, Dec. 2024, pp. 631–39. EBSCOhost, https://doi.org/10.1136/svn-2023-002500.

APA

Nie, X., Yang, J., Li, X., Zhan, T., Liu, D., Yan, H., Wei, Y., Liu, X., Chen, J., Gong, G., Wu, Z., Yang, Z., Wen, M., Gu, W., Pan, Y., Jiang, Y., Meng, X., Liu, T., Cheng, J., … Liu, L. (2024). Prediction of futile recanalisation after endovascular treatment in acute ischaemic stroke: development and validation of a hybrid machine learning model. Stroke and Vascular Neurology, 9(6), 631–639. https://doi.org/10.1136/svn-2023-002500

Chicago

Nie, Ximing, Jinxu Yang, Xinxin Li, Tianming Zhan, Dongdong Liu, Hongyi Yan, Yufei Wei, et al. 2024. “Prediction of Futile Recanalisation after Endovascular Treatment in Acute Ischaemic Stroke: Development and Validation of a Hybrid Machine Learning Model.” Stroke and Vascular Neurology 9 (6): 631–39. doi:10.1136/svn-2023-002500.