Display of glucose distributions by date, time of day, and day of week: New and improved methods

Journal of Diabetes Science and Technology

Volumn 3, Issue 6, 2009, Pages 1388-1394

  Rodbard, David ^a  

^a Biomedical Informatics Consultants LLC   (United States)

Author keywords

Continuous glucose monitoring; Hyperglycemia; Hypoglycemia; Medical informatics; Self monitoring of blood glucose; Statistical analysis; Type 1 diabetes; Type 2 diabetes

Indexed keywords

ARTICLE; BLOOD; BLOOD GLUCOSE MONITORING; COMPUTER GRAPHICS; COMPUTER PROGRAM; DRUG EFFECT; EATING; EQUIPMENT; GLUCOSE BLOOD LEVEL; HUMAN; INSTRUMENTATION; INSULIN DEPENDENT DIABETES MELLITUS; METABOLISM; METHODOLOGY; MONITORING; NON INSULIN DEPENDENT DIABETES MELLITUS; PREDICTION AND FORECASTING; TIME;

BLOOD GLUCOSE; BLOOD GLUCOSE SELF-MONITORING; COMPUTER GRAPHICS; DIABETES MELLITUS, TYPE 1; DIABETES MELLITUS, TYPE 2; DIAGNOSTIC EQUIPMENT; EATING; HUMANS; MONITORING, PHYSIOLOGIC; PREDICTIVE VALUE OF TESTS; SOFTWARE; TIME FACTORS;

EID: 77957316689     PISSN: None     EISSN: 19322968     Source Type: Journal    
DOI: 10.1177/193229680900300619     Document Type: Article

References (11)

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