Glucose variability indices in type 1 diabetes: Parsimonious set of indices revealed by sparse principal component analysis

Diabetes Technology and Therapeutics

Volumn 16, Issue 10, 2014, Pages 644-652

  Fabris, Chiara ^a   Facchinetti, Andrea ^a   Sparacino, Giovanni ^a   Zanon, Mattia ^a   Guerra, Stefania ^a   Maran, Alberto ^a   Cobelli, Claudio ^a  

^a UNIVERSITY OF PADOVA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

GLUCOSE; ANTIDIABETIC AGENT; GLUCOSE BLOOD LEVEL; GLYCOSYLATED HEMOGLOBIN; HEMOGLOBIN A1C PROTEIN, HUMAN; INSULIN;

ALGORITHM; ANALYTICAL PARAMETERS; ARTICLE; CLINICAL ARTICLE; CONTROLLED STUDY; DATA PROCESSING; GLUCOSE BLOOD LEVEL; GLUCOSE VARIABILITY; HUMAN; INSULIN DEPENDENT DIABETES MELLITUS; PARSIMONY ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; SPARSE PRINCIPAL COMPONENT ANALYSIS; TIME SERIES ANALYSIS; VARIANCE; AMBULATORY MONITORING; BLOOD; BLOOD GLUCOSE MONITORING; DIABETES MELLITUS, TYPE 1; HYPERGLYCEMIA; HYPOGLYCEMIA; INSULIN INFUSION; META ANALYSIS; METABOLISM; RETROSPECTIVE STUDY; RISK FACTOR;

BLOOD GLUCOSE; BLOOD GLUCOSE SELF-MONITORING; DIABETES MELLITUS, TYPE 1; HEMOGLOBIN A, GLYCOSYLATED; HUMANS; HYPERGLYCEMIA; HYPOGLYCEMIA; HYPOGLYCEMIC AGENTS; INSULIN; INSULIN INFUSION SYSTEMS; MONITORING, AMBULATORY; PRINCIPAL COMPONENT ANALYSIS; RETROSPECTIVE STUDIES; RISK FACTORS;

EID: 84907522824     PISSN: 15209156     EISSN: 15578593     Source Type: Journal    
DOI: 10.1089/dia.2013.0252     Document Type: Article

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