Comparative assessment of glucose prediction models for patients with type 1 diabetes mellitus applying sensors for glucose and physical activity monitoring

Medical and Biological Engineering and Computing

Volumn 53, Issue 12, 2015, Pages 1333-1343

  Zarkogianni, K ^a   Mitsis, K ^a   Litsa, E ^a   Arredondo, M T ^b   Ficomicron G ^b   Fioravanti, A ^b   Nikita, K S ^a  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

^b UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

Author keywords

Diabetes; Glucose; Neural networks; Neuro fuzzy; Physical activity; Prediction; Self organizing map; Sensors

Indexed keywords

CONFORMAL MAPPING; FEEDFORWARD NEURAL NETWORKS; FORECASTING; FUZZY INFERENCE; FUZZY NEURAL NETWORKS; LINEAR REGRESSION; MEDICAL PROBLEMS; MONITORING; NEURAL NETWORKS; REGRESSION ANALYSIS; SELF ORGANIZING MAPS; SENSORS;

BLOOD GLUCOSE CONCENTRATION; COMPARATIVE ASSESSMENT; LINEAR REGRESSION MODELS; NEURO-FUZZY; PHYSICAL ACTIVITY; PHYSICAL ACTIVITY MONITORING; PREDICTIVE PERFORMANCE; TYPE 1 DIABETES MELLITUS;

GLUCOSE;

GLUCOSE; GLUCOSE BLOOD LEVEL;

ADULT; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BLOOD GLUCOSE MONITORING; CLINICAL ARTICLE; CLINICAL EVALUATION; DIABETIC PATIENT; FEEDFORWARD NEURAL NETWORK; FEMALE; FUZZY LOGIC; GLUCOSE BLOOD LEVEL; GLUCOSE SENSOR; HUMAN; HYPOGLYCEMIA; INSULIN DEPENDENT DIABETES MELLITUS; LINEAR REGRESSION ANALYSIS; MACHINE LEARNING; MALE; PATIENT MONITORING; PHYSICAL ACTIVITY; PREDICTION; PRIORITY JOURNAL; SELF ORGANIZING MAP; STATISTICAL MODEL; WAVELET AS ACTIVATION FUNCTION; ANALYSIS; BLOOD; MIDDLE AGED; PHYSIOLOGIC MONITORING;

ADULT; BLOOD GLUCOSE; DIABETES MELLITUS, TYPE 1; FEMALE; HUMANS; MALE; MIDDLE AGED; MODELS, STATISTICAL; MONITORING, PHYSIOLOGIC; NEURAL NETWORKS (COMPUTER);

EID: 84948711108     PISSN: 01400118     EISSN: 17410444     Source Type: Journal    
DOI: 10.1007/s11517-015-1320-9     Document Type: Article

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