Impact of 25-Hydroxyvitamin D on the Prognosis of Acute Ischemic Stroke: Machine Learning Approach

Impact of 25-Hydroxyvitamin D on the Prognosis of Acute Ischemic Stroke: Machine Learning Approach

Background and Purpose: Vitamin D is a predictor of poor outcome for cardiovascular disease. We evaluated whether serum 25-hydroxyvitamin D level was associated with poor outcome in patients with acute ischemic stroke (AIS) using machine learning approach.Materials and Methods: We studied a total of...

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Bibliographic Details
Main Authors: Chulho Kim, Sang-Hwa Lee, Jae-Sung Lim, Yerim Kim, Min Uk Jang, Mi Sun Oh, San Jung, Ju-Hun Lee, Kyung-Ho Yu, Byung-Chul Lee
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-01-01
Series:Frontiers in Neurology
Subjects:
vitamin D
cerebral infarction
stroke
outcome assessment
machine learning
Online Access:https://www.frontiersin.org/article/10.3389/fneur.2020.00037/full

Internet

https://www.frontiersin.org/article/10.3389/fneur.2020.00037/full

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