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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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| Veröffentlicht in: | J Thorac Dis |
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| Hauptverfasser: | , , , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
AME Publishing Company
2019
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| Schlagworte: | |
| Online Zugang: | 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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