Neural network based glucose - Insulin metabolism models for children with type 1 diabetes

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2006, Pages 3545-3548

  Mougiakakou, Stavroula G ^a   Prountzou, Aikaterini ^a   Iliopoulou, Dimitra ^a   Nikita, Konstantina S ^a   Vazeou, Andriani ^b   Bartsocas, Christos S ^b  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

^b UNIVERSITY OF ATHENS   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; INSULIN; LEARNING AIDS FOR HANDICAPPED PERSONS; METABOLISM; NEURAL NETWORKS; PHYSIOLOGICAL MODELS; REAL TIME SYSTEMS;

COMPARTMENTAL MODELS (CM); PLASMA INSULIN CONCENTRATION; REAL TIME RECURRENT LEARNING (RTRL);

GLUCOSE;

GLUCOSE; INSULIN;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; BIOMEDICAL ENGINEERING; BLOOD; CHILD; GLUCOSE BLOOD LEVEL; HUMAN; INSULIN DEPENDENT DIABETES MELLITUS; MATHEMATICS; METABOLISM;

ALGORITHMS; BIOMEDICAL ENGINEERING; BLOOD GLUCOSE; CHILD; DIABETES MELLITUS, TYPE 1; GLUCOSE; HUMANS; INSULIN; MATHEMATICS; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER);

EID: 34047093466     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2006.260640     Document Type: Conference Paper

References (10)

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