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Volumn 7, Issue 4, 2013, Pages 871-879

A consensus perceived glycemic variability metric

Author keywords

Blood glucose measurement; Continuous glucose monitoring; Glycemic control; Glycemic variability; Machine learning; Support vector regression

Indexed keywords

ACCURACY; ADOLESCENT; ADULT; AGED; ALGORITHM; ARTICLE; BLOOD GLUCOSE MONITORING; CLINICAL ARTICLE; CONSENSUS; CONSENSUS PERCEIVED GLYCEMIC VARIABILITY; CONTINUOUS GLUCOSE MONITORING; DESCRIPTIVE RESEARCH; DIABETES MELLITUS; DISEASE CONTROL; FALSE POSITIVE RESULT; FEMALE; GLYCEMIC CONTROL; HUMAN; INSULIN DEPENDENT DIABETES MELLITUS; MACHINE LEARNING; MALE; PERCEPTRON; PHYSICIAN; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; ANALYSIS; BLOOD; DIABETES MELLITUS, TYPE 1; GLUCOSE BLOOD LEVEL; OBSERVER VARIATION; PERCEPTION; PROCEDURES; REPRODUCIBILITY; STANDARD; STANDARDS; STATISTICAL ANALYSIS; STATISTICS AND NUMERICAL DATA; VALIDATION STUDY; METHODOLOGY; STATISTICS;

EID: 84897120659     PISSN: None     EISSN: 19322968     Source Type: Journal    
DOI: 10.1177/193229681300700409     Document Type: Article
Times cited : (23)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.