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) multicen...
| Publicado en: | Journal of the American Medical Informatics Association Vol. 20; no. 4; pp. 778 - 787 |
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| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
Oxford University Press / USA
Jul2013
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| Acceso en línea: | Ver este registro en EBSCOhost |