Blood-Based Biomarkers for Predicting the Risk for Five-Year Incident Coronary Heart Disease in the Framingham Heart Study via Machine Learning

An improved approach for predicting the risk for incident coronary heart disease (CHD) could lead to substantial improvements in cardiovascular health. Previously, we have shown that genetic and epigenetic loci could predict CHD status more sensitively than conventional risk factors. Herein, we exam...

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Detalles Bibliográficos
Autores principales: Dogan, Meeshanthini V., Beach, Steven R. H., Simons, Ronald L., Lendasse, Amaury, Penaluna, Brandan, Philibert, Robert A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6315411/
https://www.ncbi.nlm.nih.gov/pubmed/30567402
http://dx.doi.org/10.3390/genes9120641

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6315411/
https://www.ncbi.nlm.nih.gov/pubmed/30567402
http://dx.doi.org/10.3390/genes9120641

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