A machine learning-based predictive model for predicting early neurological deterioration in lenticulostriate atheromatous disease-related infarction

A machine learning-based predictive model for predicting early neurological deterioration in lenticulostriate atheromatous disease-related infarction

Background and aimThis study aimed to develop a predictive model for early neurological deterioration (END) in branch atheromatous disease (BAD) affecting the lenticulostriate artery (LSA) territory using machine learning. Additionally, it aimed to explore the underlying mechanisms of END occurrence...

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Bibliographic Details
Main Authors: Zhuangzhuang Jiang, Dongjuan Xu, Hongfei Li, Xiaolan Wu, Yuan Fang, Chen Lou
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Neuroscience
Subjects:
early neurological deterioration
branch atheromatous disease
lenticulostriate artery
ischemic stroke
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2024.1496810/full
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https://www.frontiersin.org/articles/10.3389/fnins.2024.1496810/full

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