Genetic-algorithm-based multiple regression with fuzzy inference system for detection of nocturnal hypoglycemic episodes

IEEE Transactions on Information Technology in Biomedicine

Volumn 15, Issue 2, 2011, Pages 308-315

  Ling, Steve S H ^a   Nguyen, Hung T ^a  

^a UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

Author keywords

Diabetes; fuzzy inference system (FIS); genetic algorithm (GA); hypoglycemic episodes; multiple regression

Indexed keywords

BLOOD GLUCOSE; CLINICAL STUDY; DIABETES; ECG SIGNALS; FUZZY INFERENCE SYSTEMS; HEART RATES; HYPOGLYCEMIC EPISODES; INSULIN THERAPY; MODEL PARAMETERS; MULTIPLE REGRESSION; MULTIPLE REGRESSIONS; OPTIMAL FUZZY RULES; PHYSIOLOGICAL PARAMETERS; REGRESSION METHOD; SIDE EFFECT; TRAINING SETS; TYPE 1 DIABETES MELLITUS;

FUZZY INFERENCE; FUZZY SYSTEMS; GLUCOSE; INSULIN; MEMBERSHIP FUNCTIONS; METAL ANALYSIS; PHYSIOLOGICAL MODELS; REGRESSION ANALYSIS;

GENETIC ALGORITHMS;

ADOLESCENT; ALGORITHM; ARTICLE; BIOLOGICAL MODEL; FUZZY LOGIC; HUMAN; HYPOGLYCEMIA; METHODOLOGY; MONITORING; PATHOPHYSIOLOGY; PHYSIOLOGY; REGRESSION ANALYSIS; SLEEP;

ADOLESCENT; ALGORITHMS; FUZZY LOGIC; HUMANS; HYPOGLYCEMIA; MODELS, GENETIC; MONITORING, PHYSIOLOGIC; REGRESSION ANALYSIS; SLEEP;

EID: 79952476740     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2010.2103953     Document Type: Article

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