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Choosing Clinical Variables for Risk Stratification Post-Acute Coronary Syndrome
Most risk stratification methods use expert opinion to identify a fixed number of clinical variables that have prognostic significance. In this study our goal was to develop improved metrics that utilize a variable number of input parameters. We first used Bootstrap Lasso Regression (BLR) – a Machin...
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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6787006/ https://ncbi.nlm.nih.gov/pubmed/31601916 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-50933-3 |
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