Interpretable Machine Learning Model Predicting Early Neurological Deterioration in Ischemic Stroke Patients Treated with Mechanical Thrombectomy: A Retrospective Study

Early neurologic deterioration (END) is a common and feared complication for acute ischemic stroke (AIS) patients treated with mechanical thrombectomy (MT). This study aimed to develop an interpretable machine learning (ML) model for individualized prediction to predict END in AIS patients treated w...

Full description

Bibliographic Details

Published in:	Brain Sciences
Main Authors:	Tongtong Yang, Yixing Hu, Xiding Pan, Sheng Lou, Jianjun Zou, Qiwen Deng, Qingxiu Zhang, Junshan Zhou, Junrong Zhu
Format:	Article
Language:	English
Published:	MDPI AG 2023-03-01
Subjects:	machine learning acute ischemic stroke early neurological deterioration mechanical thrombectomy
Online Access:	https://www.mdpi.com/2076-3425/13/4/557