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Predicting complications of percutaneous coronary intervention using a novel support vector method
OBJECTIVE: To explore the feasibility of a novel approach using an augmented one-class learning algorithm to model in-laboratory complications of percutaneous coronary intervention (PCI). MATERIALS AND METHODS: Data from the Blue Cross Blue Shield of Michigan Cardiovascular Consortium (BMC2) multice...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BMJ Publishing Group
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3721176/ https://ncbi.nlm.nih.gov/pubmed/23599229 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2012-001588 |
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