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...

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Autori principali:	Tongtong Yang, Yixing Hu, Xiding Pan, Sheng Lou, Jianjun Zou, Qiwen Deng, Qingxiu Zhang, Junshan Zhou, Junrong Zhu
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2023-03-01
Serie:	Brain Sciences
Soggetti:	machine learning acute ischemic stroke early neurological deterioration mechanical thrombectomy
Accesso online:	https://www.mdpi.com/2076-3425/13/4/557
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