Using a Multiclass Machine Learning Model to Predict the Outcome of Acute Ischemic Stroke Requiring Reperfusion Therapy

Using a Multiclass Machine Learning Model to Predict the Outcome of Acute Ischemic Stroke Requiring Reperfusion Therapy

Prediction of functional outcome in ischemic stroke patients is useful for clinical decisions. Previous studies mostly elaborate on the prediction of favorable outcomes. Miserable outcomes, which are usually defined as modified Rankin Scale (mRS) 5–6, should be considered as well before further inva...

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Bibliographic Details
Main Authors: I-Min Chiu, Wun-Huei Zeng, Chi-Yung Cheng, Shih-Hsuan Chen, Chun-Hung Richard Lin
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Diagnostics
Subjects:
machine learning
acute ischemic stroke
reperfusion therapy
outcome prediction
multiclass classification
Online Access:https://www.mdpi.com/2075-4418/11/1/80

Internet

https://www.mdpi.com/2075-4418/11/1/80

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