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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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Detalhes bibliográficos
Publicado no:Sci Rep
Main Authors: López-Martínez, Fernando, Núñez-Valdez, Edward Rolando, Crespo, Rubén González, García-Díaz, Vicente
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7327031/
https://ncbi.nlm.nih.gov/pubmed/32606434
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-67640-z
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