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dc.contributor.author | Nieto Chaupis, Huber | |
dc.coverage.temporal | 15 March 2017 through 17 March 2017 | |
dc.date.accessioned | 2019-08-25T18:46:19Z | |
dc.date.available | 2019-08-25T18:46:19Z | |
dc.date.issued | 2017-03 | |
dc.identifier.citation | Nieto 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.uri | http://repositorio.uch.edu.pe/handle/uch/365 | |
dc.description.abstract | We 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.iso | eng | |
dc.relation | info:eu-repo/semantics/article | en_PE |
dc.relation.isPartOf | EAI International Conference on Bio-inspired Information and Communications Technologies (BICT) | |
dc.rights | info:eu-repo/semantics/embargoedAccess | en_PE |
dc.source | Repositorio Institucional - UCH | en_PE |
dc.source | Universidad de Ciencias y Humanidades | en_PE |
dc.subject | Hospitals | en |
dc.subject | Medical problems | en |
dc.subject | Albumin | en |
dc.subject | Continuous measurements | en |
dc.subject | Diabetes patients | en |
dc.subject | Kidney disease | en |
dc.subject | Measurements of | en |
dc.subject | Peri-urban areas | en |
dc.subject | Type-2 diabetes | en |
dc.subject | Well being | en |
dc.subject | Diagnosis | en |
dc.title | Anticipating diabetic kidney disease through measurements of albumin in diabetes patients | en_PE |
dc.type | info:eu-repo/semantics/conferenceObject | en_PE |
dc.identifier.journal | EAI International Conference on Bio-Inspired Information and Communications Technologies, BICT | en_PE |
dc.identifier.scopus | 2-s2.0-85032453593 |
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