Treatment of individual predictors with neural network algorithms improves Global Registry of Acute Coronary Events score discrimination

OBJECTIVE: The aim of this study was to develop, train, and test different neural network (NN) algorithm-based models to improve the Global Registry of Acute Coronary Events (GRACE) score performance to predict in-hospital mortality after an acute coronary syndrome. METHODS: We analyzed a prospectiv...

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Detalles Bibliográficos
Autores principales: Borracci, Raul A., Higa, Claudio C., Ciambrone, Graciana, Gambarte, Jimena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Permanyer Publications 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8258905/
https://www.ncbi.nlm.nih.gov/pubmed/33661883
http://dx.doi.org/10.24875/ACM.20000011

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8258905/
https://www.ncbi.nlm.nih.gov/pubmed/33661883
http://dx.doi.org/10.24875/ACM.20000011

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