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dc.contributor.author | García Jaramillo, Maira Alejandra![]() |
es_ES |
dc.contributor.author | Calm, R.![]() |
es_ES |
dc.contributor.author | Bondía Company, Jorge![]() |
es_ES |
dc.contributor.author | Vehí, J.![]() |
es_ES |
dc.date.accessioned | 2015-11-06T08:24:28Z | |
dc.date.available | 2015-11-06T08:24:28Z | |
dc.date.issued | 2012-10 | |
dc.identifier.issn | 0169-2607 | |
dc.identifier.uri | http://hdl.handle.net/10251/57114 | |
dc.description.abstract | The behavior of three insulin action and glucose kinetics models was assessed for an insulin therapy regime in the presence of patient variability. For this purpose, postprandial glucose in patients with type 1 diabetes was predicted by considering intra- and inter-patient variability using modal interval analysis. Equations to achieve optimal prediction are presented for models 1, 2 and 3, which are of increasing complexity. The model parameters were adjusted to reflect the “same” patient in the presence of variability. The glucose response envelope for model 1, the simplest insulin–glucose model assessed, included the responses of the other two models when a good fit of the model parameters was achieved. Thus, under variability, simple glucose–insulin models may be sufficient to describe patient dynamics in most situations. | es_ES |
dc.description.sponsorship | This work was partially supported by the Spanish Ministry of Science and Innovation through Grant DPI-2010-20764-C02, and by the Autonomous Government of Catalonia through Grant SGR 523. | en_EN |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Computer Methods and Programs in Biomedicine | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Type 1 diabetes | es_ES |
dc.subject | Interval models | es_ES |
dc.subject | Uncertainty | es_ES |
dc.subject | Insulin therapy | es_ES |
dc.subject | Adjustment | es_ES |
dc.subject.classification | INGENIERIA DE SISTEMAS Y AUTOMATICA | es_ES |
dc.title | Prediction of postprandial blood glucose under uncertainty and intra-patient variability in type 1 diabetes: a comparative study of three interval models, | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.cmpb.2012.04.003 | |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//DPI2010-20764-C02-02/ES/NUEVAS ESTRATEGIAS DE CONTROL GLUCEMICO POSTPRANDIAL MEDIANTE TERAPIA CON BOMBA DE INSULINA EN DIABETES TIPO 1/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//DPI2010-20764-C02-01/ES/NUEVAS ESTRATEGIAS DE CONTROL GLUCEMICO POSTPRANDIAL MEDIANTE TERAPIA CON BOMBA DE INSULINA EN DIABETES TIPO 1/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/Generalitat de Catalunya/Grups de Recerca Reconeguts per la Generalitat de Catalunya SGR 2009-2013/2009 SGR 523/ES/AEDS: AUTOMATION ENGINEERING AND DECISION SUPPORT SYSTEMS/ | es_ES |
dc.rights.accessRights | Cerrado | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Instituto Universitario de Automática e Informática Industrial - Institut Universitari d'Automàtica i Informàtica Industrial | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica | es_ES |
dc.description.bibliographicCitation | García Jaramillo, MA.; Calm, R.; Bondía Company, J.; Vehí, J. (2012). Prediction of postprandial blood glucose under uncertainty and intra-patient variability in type 1 diabetes: a comparative study of three interval models,. Computer Methods and Programs in Biomedicine. 108(1):993-1001. https://doi.org/10.1016/j.cmpb.2012.04.003 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1016/j.cmpb.2012.04.003 | es_ES |
dc.description.upvformatpinicio | 993 | es_ES |
dc.description.upvformatpfin | 1001 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 108 | es_ES |
dc.description.issue | 1 | es_ES |
dc.relation.senia | 240847 | |
dc.identifier.eissn | 1872-7565 | |
dc.contributor.funder | Generalitat de Catalunya | es_ES |
dc.contributor.funder | Ministerio de Ciencia e Innovación | es_ES |