Statements in which the resource exists.
SubjectPredicateObjectContext
pubmed-article:20082589rdf:typepubmed:Citationlld:pubmed
pubmed-article:20082589lifeskim:mentionsumls-concept:C0150369lld:lifeskim
pubmed-article:20082589lifeskim:mentionsumls-concept:C0598941lld:lifeskim
pubmed-article:20082589lifeskim:mentionsumls-concept:C0017725lld:lifeskim
pubmed-article:20082589lifeskim:mentionsumls-concept:C0681842lld:lifeskim
pubmed-article:20082589lifeskim:mentionsumls-concept:C0002045lld:lifeskim
pubmed-article:20082589lifeskim:mentionsumls-concept:C0549178lld:lifeskim
pubmed-article:20082589lifeskim:mentionsumls-concept:C2004457lld:lifeskim
pubmed-article:20082589pubmed:issue1lld:pubmed
pubmed-article:20082589pubmed:dateCreated2010-1-19lld:pubmed
pubmed-article:20082589pubmed:abstractTextContinuous glucose monitoring (CGM) devices could be useful for real-time management of diabetes therapy. In particular, CGM information could be used in real time to predict future glucose levels in order to prevent hypo-/hyperglycemic events. This article proposes a new online method for predicting future glucose concentration levels from CGM data.lld:pubmed
pubmed-article:20082589pubmed:languageenglld:pubmed
pubmed-article:20082589pubmed:journalhttp://linkedlifedata.com/r...lld:pubmed
pubmed-article:20082589pubmed:citationSubsetIMlld:pubmed
pubmed-article:20082589pubmed:chemicalhttp://linkedlifedata.com/r...lld:pubmed
pubmed-article:20082589pubmed:statusMEDLINElld:pubmed
pubmed-article:20082589pubmed:monthJanlld:pubmed
pubmed-article:20082589pubmed:issn1557-8593lld:pubmed
pubmed-article:20082589pubmed:authorpubmed-author:de LeivaAAlld:pubmed
pubmed-article:20082589pubmed:authorpubmed-author:CobelliCClld:pubmed
pubmed-article:20082589pubmed:authorpubmed-author:FacchinettiAAlld:pubmed
pubmed-article:20082589pubmed:authorpubmed-author:SparacinoGGlld:pubmed
pubmed-article:20082589pubmed:authorpubmed-author:GómezE JEJlld:pubmed
pubmed-article:20082589pubmed:authorpubmed-author:HernandoM EMElld:pubmed
pubmed-article:20082589pubmed:authorpubmed-author:RiglaMMlld:pubmed
pubmed-article:20082589pubmed:authorpubmed-author:Pérez-GandíaC...lld:pubmed
pubmed-article:20082589pubmed:issnTypeElectroniclld:pubmed
pubmed-article:20082589pubmed:volume12lld:pubmed
pubmed-article:20082589pubmed:ownerNLMlld:pubmed
pubmed-article:20082589pubmed:authorsCompleteYlld:pubmed
pubmed-article:20082589pubmed:pagination81-8lld:pubmed
pubmed-article:20082589pubmed:meshHeadingpubmed-meshheading:20082589...lld:pubmed
pubmed-article:20082589pubmed:meshHeadingpubmed-meshheading:20082589...lld:pubmed
pubmed-article:20082589pubmed:meshHeadingpubmed-meshheading:20082589...lld:pubmed
pubmed-article:20082589pubmed:meshHeadingpubmed-meshheading:20082589...lld:pubmed
pubmed-article:20082589pubmed:meshHeadingpubmed-meshheading:20082589...lld:pubmed
pubmed-article:20082589pubmed:meshHeadingpubmed-meshheading:20082589...lld:pubmed
pubmed-article:20082589pubmed:meshHeadingpubmed-meshheading:20082589...lld:pubmed
pubmed-article:20082589pubmed:meshHeadingpubmed-meshheading:20082589...lld:pubmed
pubmed-article:20082589pubmed:meshHeadingpubmed-meshheading:20082589...lld:pubmed
pubmed-article:20082589pubmed:year2010lld:pubmed
pubmed-article:20082589pubmed:articleTitleArtificial neural network algorithm for online glucose prediction from continuous glucose monitoring.lld:pubmed
pubmed-article:20082589pubmed:affiliationNetworking Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Madrid, Spain. cperez@gbt.tfo.upm.eslld:pubmed
pubmed-article:20082589pubmed:publicationTypeJournal Articlelld:pubmed
pubmed-article:20082589pubmed:publicationTypeResearch Support, Non-U.S. Gov'tlld:pubmed