Machine Learning Models for Predicting Early Neurological Deterioration and Risk Classification of Acute Ischemic Stroke

Machine Learning Models for Predicting Early Neurological Deterioration and Risk Classification of Acute Ischemic Stroke

This study aimed to create machine learning models for predicting early neurological deterioration and risk classification in acute ischemic stroke (AIS) before intravenous thrombolysis (IVT). The study included 704 AIS patients categorized into END and non-END groups. The least absolute shrinkage a...

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Bibliographic Details
Main Authors: Huan Yang MM, Zhe Lv MB, Wenxi Wang MM, Yaohui Wang MM, Jie Chen MB, Zhanqiu Wang MB
Format: Article
Language:English
Published: SAGE Publishing 2023-12-01
Series:Clinical and Applied Thrombosis/Hemostasis
Online Access:https://doi.org/10.1177/10760296231221738

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