Defining the Age of Young Ischemic Stroke Using Data-Driven Approaches

Defining the Age of Young Ischemic Stroke Using Data-Driven Approaches

<b>Introduction</b>: The cut-point for defining the age of young ischemic stroke (IS) is clinically and epidemiologically important, yet it is arbitrary and differs across studies. In this study, we leveraged electronic health records (EHRs) and data science techniques to estimate an opt...

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Bibliographic Details
Main Authors: Vida Abedi, Clare Lambert, Durgesh Chaudhary, Emily Rieder, Venkatesh Avula, Wenke Hwang, Jiang Li, Ramin Zand
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Journal of Clinical Medicine
Subjects:
ischemic stroke
data science
machine-learning
electronic health records
EHR
Online Access:https://www.mdpi.com/2077-0383/12/7/2600

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https://www.mdpi.com/2077-0383/12/7/2600

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