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dc.contributor.authorNieto Chaupis, Huber
dc.coverage.temporal15 March 2017 through 17 March 2017
dc.date.accessioned2019-08-25T18:46:19Z
dc.date.available2019-08-25T18:46:19Z
dc.date.issued2017-03
dc.identifier.citationNieto Chaupis H. (Marzo, 2017). Anticipating diabetic kidney disease through measurements of albumin in diabetes patients. En International Conference on Bio-Inspired Information and Communications Technologies.en_PE
dc.identifier.urihttp://repositorio.uch.edu.pe/handle/uch/365
dc.description.abstractWe have proposed a system based in the continuous measurement of albumin in type-2 diabetes patients whose diagnosis was done 5 years ago or more. The main idea of this investigation consists in a plan of visits by the nurse to the localizations of the patients, in order to collect samples of urine and blood. From the results of lab, endocrinologist or nephrologist can provide an accurate prescription in order to anticipate the apparition of the diabetic kidney disease, particularly in those patients with a diagnosis of more than 10 years. We focus in those patients from Peri-urban areas of big cities, where most of them are not motivated to attend a public hospital due to the logistic involved and others aspects against the well-being of patient. When this system is used, the simulations has shown that 4 of 17 patients might surpass any type of kidney complications in the middle term.en
dc.language.isoeng
dc.relationinfo:eu-repo/semantics/articleen_PE
dc.relation.isPartOfEAI International Conference on Bio-inspired Information and Communications Technologies (BICT)
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_PE
dc.sourceRepositorio Institucional - UCHen_PE
dc.sourceUniversidad de Ciencias y Humanidadesen_PE
dc.subjectHospitalsen
dc.subjectMedical problemsen
dc.subjectAlbuminen
dc.subjectContinuous measurementsen
dc.subjectDiabetes patientsen
dc.subjectKidney diseaseen
dc.subjectMeasurements ofen
dc.subjectPeri-urban areasen
dc.subjectType-2 diabetesen
dc.subjectWell beingen
dc.subjectDiagnosisen
dc.titleAnticipating diabetic kidney disease through measurements of albumin in diabetes patientsen_PE
dc.typeinfo:eu-repo/semantics/conferenceObjecten_PE
dc.identifier.journalEAI International Conference on Bio-Inspired Information and Communications Technologies, BICTen_PE
dc.identifier.scopus2-s2.0-85032453593
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