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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...
Gorde:
| Argitaratua izan da: | Sci Rep |
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| Egile Nagusiak: | , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Nature Publishing Group UK
2020
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| Gaiak: | |
| Sarrera elektronikoa: | 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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