Evolvable rough-block-based neural network and its biomedical application to hypoglycemia detection system

IEEE Transactions on Cybernetics

Volumn 44, Issue 8, 2014, Pages 1338-1349

  San, Phyo Phyo ^a   Ling, Sai Ho ^a   Nuryani, ^b   Nguyen, Hung ^a  

^a UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

^b SEBELAS MARET UNIVERSITY   (Indonesia)

Author keywords

Hypoglycemic episodes; neural network; particle swarm optimization with wavelet mutation (HPSOWM); rough set

Indexed keywords

DIAGNOSIS; HYBRID SYSTEMS; INSULIN; MEDICAL APPLICATIONS; NEURAL NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO);

BIOMEDICAL APPLICATIONS; BLOCK-BASED NEURAL NETWORKS; CLASSIFICATION PERFORMANCE; HYBRID PARTICLE SWARM OPTIMIZATION; HYPOGLYCEMIA DETECTIONS; HYPOGLYCEMIC EPISODES; PARAMETER OPTIMIZATION; TYPE 1 DIABETES MELLITUS;

ROUGH SET THEORY;

GLUCOSE BLOOD LEVEL;

ADOLESCENT; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; ELECTROCARDIOGRAPHY; FACTUAL DATABASE; GLUCOSE BLOOD LEVEL; HEART RATE; HUMAN; HYPOGLYCEMIA; IMPEDANCE; INSULIN DEPENDENT DIABETES MELLITUS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING;

ADOLESCENT; BLOOD GLUCOSE; DATABASES, FACTUAL; DIABETES MELLITUS, TYPE 1; ELECTRIC IMPEDANCE; ELECTROCARDIOGRAPHY; HEART RATE; HUMANS; HYPOGLYCEMIA; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER); SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84904640931     PISSN: 21682267     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCYB.2013.2283296     Document Type: Article

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