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Moving beyond regression techniques in cardiovascular risk prediction: applying machine learning to address analytic challenges
Risk prediction plays an important role in clinical cardiology research. Traditionally, most risk models have been based on regression models. While useful and robust, these statistical methods are limited to using a small number of predictors which operate in the same way on everyone, and uniformly...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5837244/ https://www.ncbi.nlm.nih.gov/pubmed/27436868 http://dx.doi.org/10.1093/eurheartj/ehw302 |