Evaluating the automated blood glucose pattern detection and case-retrieval modules of the 4 diabetes support system™

Journal of Diabetes Science and Technology

Volumn 4, Issue 6, 2010, Pages 1563-1569

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

^a OHIO UNIVERSITY   (United States)

^b Ohio University   (United States)

Author keywords

Artificial intelligence; Case based reasoning; Decision support software; Insulin pump therapy; Type 1 diabetes mellitus

Indexed keywords

BIOLOGICAL MARKER; GLYCOSYLATED HEMOGLOBIN; HEMOGLOBIN A1C PROTEIN, HUMAN;

AMBULATORY MONITORING; ARTICLE; AUTOMATED PATTERN RECOGNITION; BLOOD; BLOOD GLUCOSE MONITORING; COMPUTER PROGRAM; DATA MINING; DECISION SUPPORT SYSTEM; DRUG EFFECT; GLUCOSE BLOOD LEVEL; HUMAN; INSULIN DEPENDENT DIABETES MELLITUS; INSULIN INFUSION; LABORATORY AUTOMATION; METABOLISM; TIME; TREATMENT OUTCOME;

AUTOMATION, LABORATORY; BIOLOGICAL MARKERS; BLOOD GLUCOSE; BLOOD GLUCOSE SELF-MONITORING; DATA MINING; DECISION SUPPORT SYSTEMS, CLINICAL; DIABETES MELLITUS, TYPE 1; HEMOGLOBIN A, GLYCOSYLATED; HUMANS; INSULIN INFUSION SYSTEMS; MONITORING, AMBULATORY; PATTERN RECOGNITION, AUTOMATED; SOFTWARE; TIME FACTORS; TREATMENT OUTCOME;

EID: 79953017116     PISSN: None     EISSN: 19322968     Source Type: Journal    
DOI: 10.1177/193229681000400633     Document Type: Article

References (12)

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