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.
Saved in:
| Title: | 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. |
|---|---|
| Authors: | Hu, Xiaolong (AUTHOR), Qi, Dayong (AUTHOR), Li, Suya (AUTHOR), Ye, Shifei (AUTHOR), Chen, Yue (AUTHOR), Cao, Wei (AUTHOR), Du, Meng (AUTHOR), Zheng, Tianheng (AUTHOR), Li, Peng (AUTHOR), Fang, Yibin (AUTHOR) |
| Source: | Therapeutics & Clinical Risk Management. May2025, Vol. 21, p621-631. 11p. |
| Database: | Academic Search Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 11766336 |
|---|---|
| DOI: | 10.2147/TCRM.S520362 |
