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Inflammatory biomarkers in infective endocarditis: machine learning to predict mortality
Infective endocarditis (IE) is the cardiac disease with the highest rates of mortality. New biomarkers that are able to identify patients at risk for death are required to improve patient management and outcome. This study aims to investigate if cytokines, chemokines and growth factors measured at I...
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| Publicado no: | Clin Exp Immunol |
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| Main Authors: | , , , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
John Wiley and Sons Inc.
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6514443/ https://ncbi.nlm.nih.gov/pubmed/30697694 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/cei.13266 |
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