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An artificial neural network approach for predicting hypertension using NHANES data

dc.contributor.authorLópez Martínez, Fernando
dc.contributor.authorNúñez Valdéz, Edward Rolando 
dc.contributor.authorGonzález Crespo, Rubén
dc.contributor.authorGarcía Díaz, Vicente 
dc.date.accessioned2021-01-27T10:19:39Z
dc.date.available2021-01-27T10:19:39Z
dc.date.issued2020
dc.identifier.citationScientific Reports, 10(1) (2020); doi:10.1038/s41598-020-67640-z
dc.identifier.issn2045-2322
dc.identifier.urihttp://hdl.handle.net/10651/57507
dc.description.sponsorshipThis document presents independent study funded by Sanitas USA. The points of view expressed are those of the authors and not necessarily those of the NIHR, the NHS, the NHANES or the department of health. We thank Ivan Javier Murcia Muõz, Healthcare Services Director at Sanitas USA and Martha Duarte, Epidemiologist at Sanitas USA. Their skills and competence remarkably support the study.
dc.language.isoeng
dc.relation.ispartofScientific Reports
dc.rights© 2020 los autores
dc.rightsCC Reconocimiento 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85087111928&doi=10.1038%2fs41598-020-67640-z&partnerID=40&md5=7743640faeca1109f16f84a37058f23c
dc.titleAn artificial neural network approach for predicting hypertension using NHANES data
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1038/s41598-020-67640-z
dc.type.dcmitext
dc.relation.publisherversionhttp://dx.doi.org/10.1038/s41598-020-67640-z
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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