Prediction of Hemorrhagic Complication after Thrombolytic Therapy Based on Multimodal Data from Multiple Centers: An Approach to Machine Learning and System Implementation

Hemorrhagic complication (HC) is the most severe complication of intravenous thrombolysis (IVT) in patients with acute ischemic stroke (AIS). This study aimed to build a machine learning (ML) prediction model and an application system for a personalized analysis of the risk of HC in patients undergo...

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Detalles Bibliográficos
Autores principales: Cui, Shaoguo, Song, Haojie, Ren, Huanhuan, Wang, Xi, Xie, Zheng, Wen, Hao, Li, Yongmei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782609/
https://www.ncbi.nlm.nih.gov/pubmed/36556272
http://dx.doi.org/10.3390/jpm12122052

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782609/
https://www.ncbi.nlm.nih.gov/pubmed/36556272
http://dx.doi.org/10.3390/jpm12122052

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