Characterizing blood glucose variability using new metrics with continuous glucose monitoring data

Journal of Diabetes Science and Technology

Volumn 5, Issue 4, 2011, Pages 871-878

  Marling, Cynthia R ^a   Shubrook, Jay H ^b   Vernier, Stanley J ^a   Wiley, Matthew T ^a   Schwartz, Frank L ^b  

^a Ohio University   (United States)

^b OHIO UNIVERSITY   (United States)

Author keywords

Blood glucose measurement; Continuous glucose monitoring; Glycemic control; Glycemic variability; Machine learning; Naive bayes classifiers

Indexed keywords

ADULT; AGED; ARTICLE; BLOOD; BLOOD GLUCOSE MONITORING; DIABETES MELLITUS; EVALUATION; FEMALE; GLUCOSE BLOOD LEVEL; GLYCEMIC INDEX; HUMAN; INDIVIDUALITY; MALE; METABOLISM; METHODOLOGY; MIDDLE AGED; OBSERVER VARIATION; PHYSIOLOGY; REFERENCE VALUE; STANDARD; STATISTICAL ANALYSIS; STATISTICS;

ADULT; AGED; BLOOD GLUCOSE; BLOOD GLUCOSE SELF-MONITORING; DATA INTERPRETATION, STATISTICAL; DIABETES MELLITUS; FEMALE; GLYCEMIC INDEX; HUMANS; INDIVIDUALITY; MALE; MIDDLE AGED; OBSERVER VARIATION; REFERENCE VALUES; WEIGHTS AND MEASURES;

EID: 80055027709     PISSN: None     EISSN: 19322968     Source Type: Journal    
DOI: 10.1177/193229681100500408     Document Type: Article

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