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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

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