Predicting Clinical Outcomes in Acute Ischemic Stroke Patients Undergoing Endovascular Thrombectomy with Machine Learning A Systematic Review and Meta-analysis

Predicting Clinical Outcomes in Acute Ischemic Stroke Patients Undergoing Endovascular Thrombectomy with Machine Learning A Systematic Review and Meta-analysis

10.1007/s00062-020-00990-3

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Bibliographic Details
Main Authors:	Teo, Yao Hao, Lim, Isis Claire ZY, Tseng, Fan Shuen, Teo, Yao Neng, Kow, Cheryl Shumin, Ng, Zi Hui Celeste, Chan Ko Ko, Nyein, Sia, Ching-Hui, Leow, Aloysius ST, Yeung, Wesley, Kong, Wan Yee, Chan, Bernard PL, Sharma, Vijay K, Yeo, Leonard LL, Tan, Benjamin YQ
Other Authors:	MEDICINE
Format:	Review
Language:	English
Published:	SPRINGER HEIDELBERG 2021
Subjects:	Science & Technology Life Sciences & Biomedicine Clinical Neurology Radiology, Nuclear Medicine & Medical Imaging Neurosciences & Neurology Large vessel occlusion Functional outcomes Neuroimaging Diagnostic test accuracy mRS
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/192253
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Institution:	National University of Singapore
Language:	English

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