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An artificial neural network approach for predicting hypertension using NHANES data

This paper focus on a neural network classification model to estimate the association among gender, race, BMI, age, smoking, kidney disease and diabetes in hypertensive patients. It also shows that artificial neural network techniques applied to large clinical data sets may provide a meaningful data...

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Detalles Bibliográficos
Autores principales: López-Martínez, Fernando, Núñez-Valdez, Edward Rolando, Crespo, Rubén González, García-Díaz, Vicente
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327031/
https://www.ncbi.nlm.nih.gov/pubmed/32606434
http://dx.doi.org/10.1038/s41598-020-67640-z

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