Blood glucose level neural model for type 1 diabetes mellitus patients

International Journal of Neural Systems

Volumn 21, Issue 6, 2011, Pages 491-504

  Alanis, Alma Y ^a   Leon, Blanca S ^b   Sanchez, Edgar N ^b   Ruiz Velazquez, Eduardo ^a  

^a UNIVERSITY OF GUADALAJARA   (Mexico)

^b UNIDAD GUADALAJARA   (Mexico)

Author keywords

Kalman filtering; multilayer perceptron; prediction; Recurrent neural networks; type 1 diabetes mellitus

Indexed keywords

AFFINE MODEL; BLOOD GLUCOSE; BLOOD GLUCOSE LEVEL; CONTINUOUS GLUCOSE MONITORING; EXPERIMENTAL DATA; INSULIN INFUSIONS; KALMAN-FILTERING; MULTILAYER PERCEPTRON; NEURAL MODELS; NONLINEAR BEHAVIOR; TYPE 1 DIABETES MELLITUS;

BLOOD; FORECASTING; GLUCOSE; GLUCOSE SENSORS; KALMAN FILTERS; MATHEMATICAL MODELS; PATIENT MONITORING;

RECURRENT NEURAL NETWORKS;

INSULIN;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; BLOOD; GLUCOSE BLOOD LEVEL; HUMAN; INSULIN DEPENDENT DIABETES MELLITUS; METABOLISM; THEORETICAL MODEL;

ALGORITHMS; BLOOD GLUCOSE; DIABETES MELLITUS, TYPE 1; HUMANS; INSULIN; MODELS, BIOLOGICAL; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER);

EID: 82655181688     PISSN: 01290657     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0129065711003000     Document Type: Article

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