Predictive monitoring for improved management of glucose levels.

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dc.contributor.authorReifman, Jaques
dc.contributor.authorRajaraman, Srinivasan
dc.contributor.authorGribok, Andrei
dc.contributor.authorWard, W Kenneth
dc.date.accessioned2020-02-10T17:21:37Z
dc.date.available2020-02-10T17:21:37Z
dc.date.issued2009-11-03
dc.description.abstractRecent developments and expected near future improvements in continuous glucose monitoring CGM devices provide opportunities to couple them with mathematical forecasting models to produce predictive monitoring systems for early proactive glycemia management of diabetes mellitus patients before glucose levels drift to undesirable levels This article assesses the feasibility of data driven models to serve as the forecasting engine of predictive monitoring systems
dc.identifier.urihttp://dx.doi.org/Not available
dc.identifier.urihttps://lib.digitalsquare.io/xmlui/handle/123456789/26030
dc.relation.uriJournal of diabetes science and technology
dc.titlePredictive monitoring for improved management of glucose levels.en
dcterms.abstractRecent developments and expected near future improvements in continuous glucose monitoring CGM devices provide opportunities to couple them with mathematical forecasting models to produce predictive monitoring systems for early proactive glycemia management of diabetes mellitus patients before glucose levels drift to undesirable levels This article assesses the feasibility of data driven models to serve as the forecasting engine of predictive monitoring systems
dcterms.contributorReifman, Jaques
dcterms.contributorRajaraman, Srinivasan
dcterms.contributorGribok, Andrei
dcterms.contributorWard, W Kenneth
dcterms.identifierhttp://dx.doi.org/Not available
dcterms.relationJournal of diabetes science and technology
dcterms.titlePredictive monitoring for improved management of glucose levels.en
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