Predicting in-hospital rupture of type A aortic dissection using Random Forest

BACKGROUND: This study is to establish prediction tools for in-hospital rupture of type A aortic dissection (TAAD) patients, to better guide emergency surgical triage and patient counselling. METHODS: We retrospectively evaluated 1,133 consecutive patients with TAAD from January 2010 to December 201...

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Detalhes bibliográficos
Publicado no:J Thorac Dis
Main Authors: Wu, Jinlin, Qiu, Juntao, Xie, Enzehua, Jiang, Wenxiang, Zhao, Rui, Qiu, Jiawei, Zafar, Mohammad A., Huang, Yan, Yu, Cuntao
Formato: Artigo
Idioma:Inglês
Publicado em: AME Publishing Company 2019
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Original Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6940214/
https://ncbi.nlm.nih.gov/pubmed/31903252
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.21037/jtd.2019.10.82
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