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Dynamic prediction of outcome for patients with severe aortic stenosis: application of joint models for longitudinal and time-to-event data
BACKGROUND: Physicians utilize different types of information to predict patient prognosis. For example: confronted with a new patient suffering from severe aortic stenosis (AS), the cardiologist considers not only the severity of the AS but also patient characteristics, medical history, and markers...
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| Pubblicato in: | BMC Cardiovasc Disord |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2015
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4425918/ https://ncbi.nlm.nih.gov/pubmed/25943388 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12872-015-0035-z |
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