A semilogarithmic scale for glucose provides a balanced view of hyperglycemia and hypoglycemia

Journal of Diabetes Science and Technology

Volumn 3, Issue 6, 2009, Pages 1395-1401

  Rodbard, David ^a  

^a Biomedical Informatics Consultants LLC   (United States)

Author keywords

Clinical; Continuous glucose monitoring; Glycemic variability; Hyperglycemia; Hypoglycemia; Quality of glycemic control; Self monitoring of blood glucose; Statistical analysis; Type 1 diabetes; Type 2 diabetes

Indexed keywords

ANTIDIABETIC AGENT;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; BLOOD; BLOOD GLUCOSE MONITORING; CHEMICALLY INDUCED DISORDER; COMPUTER GRAPHICS; COMPUTER PROGRAM; DIABETES MELLITUS; DRUG EFFECT; EQUIPMENT; GLUCOSE BLOOD LEVEL; HOSPITALIZATION; HUMAN; HYPERGLYCEMIA; HYPOGLYCEMIA; INSTRUMENTATION; METABOLISM; MONITORING; PREDICTION AND FORECASTING; STATISTICAL MODEL; TIME;

ALGORITHMS; BLOOD GLUCOSE; BLOOD GLUCOSE SELF-MONITORING; COMPUTER GRAPHICS; DIABETES MELLITUS; DIAGNOSTIC EQUIPMENT; HUMANS; HYPERGLYCEMIA; HYPOGLYCEMIA; HYPOGLYCEMIC AGENTS; LINEAR MODELS; MODELS, BIOLOGICAL; MONITORING, PHYSIOLOGIC; PREDICTIVE VALUE OF TESTS; SEVERITY OF ILLNESS INDEX; SOFTWARE; TIME FACTORS;

EID: 77957315027     PISSN: None     EISSN: 19322968     Source Type: Journal    
DOI: 10.1177/193229680900300620     Document Type: Article

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