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Evaluating Deep Q-Learning Algorithms for Controlling Blood Glucose in In Silico Type 1 Diabetes

dc.contributor.authorAngel, Tejedor H Miguel
dc.contributor.authorHjerde, Sigurd
dc.contributor.authorMyhre, Jonas Nordhaug
dc.contributor.authorGodtliebsen, Fred
dc.date.accessioned2023-11-14T13:23:44Z
dc.date.available2023-11-14T13:23:44Z
dc.date.created2023-10-09T12:02:32Z
dc.date.issued2023
dc.identifier.citationDiagnostics (Basel). 2023, 13 (19), .
dc.identifier.issn2075-4418
dc.identifier.urihttps://hdl.handle.net/11250/3102494
dc.language.isoeng
dc.subjectType 1 diabetes
dc.subjectType 1 diabetes
dc.subjectKunstig bukspyttkjertel
dc.subjectArtificial Pancreas
dc.subjectDeep learning
dc.subjectDeep learning
dc.titleEvaluating Deep Q-Learning Algorithms for Controlling Blood Glucose in In Silico Type 1 Diabetes
dc.title.alternativeEvaluating Deep Q-Learning Algorithms for Controlling Blood Glucose in In Silico Type 1 Diabetes
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionpublishedVersion
dc.subject.nsiVDP::Klinisk medisinske fag: 750
dc.subject.nsiVDP::Clinical medical sciences: 750
dc.source.pagenumber15
dc.source.volume13
dc.source.journalDiagnostics (Basel)
dc.source.issue19
dc.identifier.doi10.3390/diagnostics13193150
dc.identifier.cristin2182860
dc.relation.projectTromsø forskningsstiftelse: A3327
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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