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Prediction of postprandial blood glucose under uncertainty and intra-patient variability in type 1 diabetes: a comparative study of three interval models,

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Prediction of postprandial blood glucose under uncertainty and intra-patient variability in type 1 diabetes: a comparative study of three interval models,

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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


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