Detection of abnormalities in type II diabetic patients using particle filters

Journal of Medical and Biological Engineering

Volumn 35, Issue 2, 2015, Pages 188-201

  Vahidi, Omid ^a   Gopaluni, R Bhushan ^b   Kwok, Ezra ^b  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

In silico clinical trial; Organ dysfunction diagnosis; Particle filters; Type II diabetes compartmental modeling

Indexed keywords

DIAGNOSIS; GLUCOSE; INSULIN; MEDICAL APPLICATIONS; PHYSIOLOGICAL MODELS;

CLINICAL TRIAL; COMPARTMENTAL MODEL; FUNCTIONAL BEHAVIORS; GLUCOSE PRODUCTION; INSULIN CONCENTRATIONS; INSULIN SECRETION; PARTICLE FILTER; SEQUENTIAL MONTE CARLO;

MONTE CARLO METHODS;

GLUCAGON; GLUCOSE; INSULIN;

ALGORITHM; ARTICLE; DIABETIC PATIENT; GLUCONEOGENESIS; GLUCOSE BLOOD LEVEL; GLUCOSE INFUSION; GLUCOSE METABOLISM; GLUCOSE TRANSPORT; HUMAN; INSULIN RELEASE; INSULIN RESISTANCE; METABOLIC RATE; MONTE CARLO METHOD; NON INSULIN DEPENDENT DIABETES MELLITUS; NUTRITIONAL REQUIREMENT;

EID: 84929459840     PISSN: 16090985     EISSN: 21994757     Source Type: Journal    
DOI: 10.1007/s40846-015-0018-7     Document Type: Article

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