Predicting subcutaneous glucose concentration using a latent-variable-based statistical method for type 1 diabetes mellitus

Journal of Diabetes Science and Technology

Volumn 6, Issue 3, 2012, Pages 617-633

  Zhao, Chunhui ^a   Dassau, Eyal ^a   Jovanovič, Lois ^b   Zisser, Howard C ^b   Doyle III, Francis J ^a   Seborg, Dale E ^a  

^a University of California   (United States)

^b SANSUM DIABETES RESEARCH INSTITUTE   (United States)

Author keywords

Autoregressive model; Autoregressive model with exogenous inputs; Continuous glucose monitoring; Glucose concentration prediction; Latent variable model; Latent variable model with exogenous inputs; Type 1 diabetes mellitus

Indexed keywords

GLUCOSE; ANTIDIABETIC AGENT; INSULIN;

ACCURACY; ADULT; ARTICLE; COMPUTER MODEL; FEMALE; HUMAN; HUMAN EXPERIMENT; INSULIN DEPENDENT DIABETES MELLITUS; MALE; MIDDLE AGED; PERFORMANCE; PREDICTION; RETROSPECTIVE STUDY; SIMULATOR; STANDARD; STATISTICAL ANALYSIS; STUDENT T TEST; TISSUE LEVEL; ARTIFICIAL PANCREAS; BIOLOGICAL MODEL; BLOOD; BLOOD GLUCOSE MONITORING; CARBOHYDRATE DIET; COMPARATIVE STUDY; COMPUTER SIMULATION; DRUG ADMINISTRATION; DRUG EFFECT; EVALUATION; FEASIBILITY STUDY; GLUCOSE BLOOD LEVEL; INSULIN INFUSION; METABOLISM; METHODOLOGY; NONLINEAR SYSTEM; PREDICTIVE VALUE; REGRESSION ANALYSIS; STATISTICAL MODEL; SUBCUTANEOUS TISSUE; TIME; TREATMENT OUTCOME;

ADULT; BLOOD GLUCOSE; BLOOD GLUCOSE SELF-MONITORING; COMPUTER SIMULATION; DIABETES MELLITUS, TYPE 1; DIETARY CARBOHYDRATES; DRUG ADMINISTRATION SCHEDULE; FEASIBILITY STUDIES; FEMALE; HUMANS; HYPOGLYCEMIC AGENTS; INSULIN; INSULIN INFUSION SYSTEMS; LEAST-SQUARES ANALYSIS; LINEAR MODELS; MALE; MIDDLE AGED; MODELS, BIOLOGICAL; MODELS, STATISTICAL; NONLINEAR DYNAMICS; PANCREAS, ARTIFICIAL; PREDICTIVE VALUE OF TESTS; RETROSPECTIVE STUDIES; SUBCUTANEOUS TISSUE; TIME FACTORS; TREATMENT OUTCOME;

EID: 84879700650     PISSN: None     EISSN: 19322968     Source Type: Journal    
DOI: 10.1177/193229681200600317     Document Type: Article

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