New approaches to display of self-monitoring of blood glucose data

Journal of Diabetes Science and Technology

Volumn 3, Issue 5, 2009, Pages 1121-1127

  Rodbard, David ^a  

^a Biomedical Informatics Consultants LLC   (United States)

Author keywords

Circadian patterns; Computer analysis; Day of week; Diabetes mellitus; Graphical display; Longitudinal analysis; Self monitoring of blood glucose; Time of day

Indexed keywords

ALGORITHM; ARTICLE; BLOOD GLUCOSE MONITORING; COMPUTER ASSISTED DIAGNOSIS; COMPUTER GRAPHICS; COMPUTER PROGRAM; COMPUTER SIMULATION; FEASIBILITY STUDY; GLUCOSE BLOOD LEVEL; HUMAN; METABOLISM; METHODOLOGY; PREDICTION AND FORECASTING; SIGNAL PROCESSING; TIME;

ALGORITHMS; BLOOD GLUCOSE; BLOOD GLUCOSE SELF-MONITORING; COMPUTER GRAPHICS; COMPUTER SIMULATION; DIAGNOSIS, COMPUTER-ASSISTED; FEASIBILITY STUDIES; HUMANS; PREDICTIVE VALUE OF TESTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE; TIME FACTORS;

EID: 77953079443     PISSN: None     EISSN: 19322968     Source Type: Journal    
DOI: 10.1177/193229680900300515     Document Type: Article

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