Prediction of Hemorrhagic Transformation after Ischemic Stroke Using Machine Learning

Prediction of Hemorrhagic Transformation after Ischemic Stroke Using Machine Learning

Hemorrhagic transformation (HT) is one of the leading causes of a poor prognostic marker after acute ischemic stroke (AIS). We compared the performances of the several machine learning (ML) algorithms to predict HT after AIS using only structured data. A total of 2028 patients with AIS, who were adm...

Full description

Bibliographic Details
Main Authors: Jeong-Myeong Choi, Soo-Young Seo, Pum-Jun Kim, Yu-Seop Kim, Sang-Hwa Lee, Jong-Hee Sohn, Dong-Kyu Kim, Jae-Jun Lee, Chulho Kim
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Journal of Personalized Medicine
Subjects:
stroke
hemorrhagic transformation
machine learning
deep learning
neural network
Online Access:https://www.mdpi.com/2075-4426/11/9/863

Internet

https://www.mdpi.com/2075-4426/11/9/863

Similar Items