Hypoglycemia prediction with subject-specific recursive time-series models

Journal of Diabetes Science and Technology

Volumn 4, Issue 1, 2010, Pages 25-33

  Eren Oruklu, Meriyan ^a   Cinar, Ali ^a   Quinn, Lauretta ^b  

^a Illinois Institute of Technology   (United States)

^b UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

Author keywords

CUSUM control chart; Early hypoglycemic alarms; EWMA control chart; Glucose predicting models; Time series methods

Indexed keywords

ADOLESCENT; ALARM MONITOR; ALGORITHM; AMBULATORY MONITORING; ARTICLE; BLOOD; CHILD; CIRCADIAN RHYTHM; CLINICAL TRIAL; GLUCOSE BLOOD LEVEL; HUMAN; HYPOGLYCEMIA; INSTRUMENTATION; INSULIN DEPENDENT DIABETES MELLITUS; LABORATORY DIAGNOSIS; METHODOLOGY; PHYSIOLOGY; PROGNOSIS; SENSITIVITY AND SPECIFICITY; STANDARD; THEORETICAL MODEL; TIME;

ADOLESCENT; ALGORITHMS; BLOOD GLUCOSE; CHILD; CIRCADIAN RHYTHM; CLINICAL ALARMS; DIABETES MELLITUS, TYPE 1; FALSE NEGATIVE REACTIONS; HUMANS; HYPOGLYCEMIA; MODELS, THEORETICAL; MONITORING, AMBULATORY; PROGNOSIS; SENSITIVITY AND SPECIFICITY; TIME FACTORS;

EID: 77954667874     PISSN: None     EISSN: 19322968     Source Type: Journal    
DOI: 10.1177/193229681000400104     Document Type: Conference Paper

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