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...
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 |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-08-01
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Series: | Journal of Personalized Medicine |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-4426/11/9/863 |
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