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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Detalles Bibliográficos
Autores principales: Myers, Paul D., Huang, Wei, Anderson, Fred, Stultz, Collin M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6787006/
https://www.ncbi.nlm.nih.gov/pubmed/31601916
http://dx.doi.org/10.1038/s41598-019-50933-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6787006/
https://www.ncbi.nlm.nih.gov/pubmed/31601916
http://dx.doi.org/10.1038/s41598-019-50933-3

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