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LiPing Zheng

Fudan University

Beijing West District Baiyun Load 10th

Shanghai, 100045

China

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Scholarly Papers (1)

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An Interpretable Machine Learning Model for Predicting Functional Outcome after Endovascular Thrombectomy for Acute Ischemic Stroke

Number of pages: 37 Posted: 28 May 2026
LiPing Zheng, WeiYi Zhong, Qiang Li, Liu Jianmin, Yongwei Zhang, Pengfei Yang, Jianmin Liu, Lili Song and Craig S. Anderson
Fudan University, Fudan University - Department of Cardiovascular Surgery, University of New South Wales (UNSW) - The George Institute for Global Health, Kawasaki Medical School, Naval Medical University - Neurovascular Center, Naval Medical University - Changhai Hospital, Naval Medical University - Neurovascular Center, Fudan University and University of Sydney - George Institute for Global Health
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Abstract:

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Acute ischemic stroke, Machine learning, Prognosis, Prediction model, Endovascular thrombectomy