Reduction of number and duration of hypoglycemic events by glucose prediction methods: A proof-of-concept in Silico study

Diabetes Technology and Therapeutics

Volumn 15, Issue 1, 2013, Pages 66-77

  Zecchin, Chiara ^a   Facchinetti, Andrea ^a   Sparacino, Giovanni ^a   Cobelli, Claudio ^a  

^a UNIVERSITY OF PADOVA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BLOOD GLUCOSE MONITORING; CLINICAL ARTICLE; CONTINOUS GLUCOSE MONITORING; CONTROLLED STUDY; DISEASE DURATION; HUMAN; HYPOGLYCEMIA; INSULIN DEPENDENT DIABETES MELLITUS; NOCTURNAL HYPOGLYCEMIA; PREDICTION; PRIORITY JOURNAL; SIMULATION; VALIDITY;

ALGORITHMS; BLOOD GLUCOSE; CALIBRATION; COMPUTER SIMULATION; DIABETES MELLITUS, TYPE 1; HUMANS; HYPOGLYCEMIA; MONITORING, AMBULATORY; PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS;

EID: 84872192562     PISSN: 15209156     EISSN: 15578593     Source Type: Journal    
DOI: 10.1089/dia.2012.0208     Document Type: Article

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