Risk Detection of Stroke Using a Feature Selection and Classification Method

Risk Detection of Stroke Using a Feature Selection and Classification Method

Stroke places a heavy burden of care on global societies. Risk detection of stroke is a challenging and time-sensitive task across the world. This article investigated biomedical tests and electronic archives of 792 records that contained 398 records from the five years preceding the onset of stroke...

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Bibliographic Details
Main Authors: Yonglai Zhang, Wenai Song, Shuai Li, Lizhen Fu, Shixin Li
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Stroke
feature selection
classification
support vector machine
machine learning
Online Access:https://ieeexplore.ieee.org/document/8355481/

Internet

https://ieeexplore.ieee.org/document/8355481/

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