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...

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Detalles Bibliográficos
Autores principales: Choi, Jeong-Myeong, Seo, Soo-Young, Kim, Pum-Jun, Kim, Yu-Seop, Lee, Sang-Hwa, Sohn, Jong-Hee, Kim, Dong-Kyu, Lee, Jae-Jun, Kim, Chulho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8470833/
https://www.ncbi.nlm.nih.gov/pubmed/34575640
http://dx.doi.org/10.3390/jpm11090863

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8470833/
https://www.ncbi.nlm.nih.gov/pubmed/34575640
http://dx.doi.org/10.3390/jpm11090863

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