A Machine Learning Model Utilizing a Novel SNP Shows Enhanced Prediction of Coronary Artery Disease Severity

Background: Machine learning (ML) has emerged as a powerful approach for predicting outcomes based on patterns and inferences. Improving prediction of severe coronary artery disease (CAD) has the potential for personalizing prevention and treatment strategies and for identifying individuals that may...

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Detalles Bibliográficos
Autores principales: Pattarabanjird, Tanyaporn, Cress, Corban, Nguyen, Anh, Taylor, Angela, Bekiranov, Stefan, McNamara, Coleen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7760379/
https://www.ncbi.nlm.nih.gov/pubmed/33271747
http://dx.doi.org/10.3390/genes11121446

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7760379/
https://www.ncbi.nlm.nih.gov/pubmed/33271747
http://dx.doi.org/10.3390/genes11121446

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