Hypoglycemia prediction using machine learning models for patients with type 2 diabetes

Journal of Diabetes Science and Technology

Volumn 9, Issue 1, 2015, Pages 86-90

  Sudharsan, Bharath ^a   Peeples, Malinda ^a   Shomali, Mansur ^a  

^a WellDoc Communications Inc   (United States)

Author keywords

Hypoglycemia prediction; Machine learning; Type 2 diabetes

Indexed keywords

GLUCOSE;

ALGORITHM; ARTICLE; BLOOD GLUCOSE MONITORING; CLASSIFICATION ALGORITHM; DIABETIC PATIENT; DIAGNOSTIC TEST ACCURACY STUDY; HUMAN; HYPOGLYCEMIA; MACHINE LEARNING; NON INSULIN DEPENDENT DIABETES MELLITUS; PREDICTION; PREDICTIVE VALUE; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; BLOOD; COMPUTER SIMULATION; PROGNOSIS; REPRODUCIBILITY; RETROSPECTIVE STUDY; STANDARDS; STATISTICS AND NUMERICAL DATA; VALIDATION STUDY;

ALGORITHMS; BLOOD GLUCOSE SELF-MONITORING; COMPUTER SIMULATION; DIABETES MELLITUS, TYPE 2; HUMANS; HYPOGLYCEMIA; MACHINE LEARNING; PROGNOSIS; REPRODUCIBILITY OF RESULTS; RETROSPECTIVE STUDIES; SENSITIVITY AND SPECIFICITY;

EID: 84924375509     PISSN: None     EISSN: 19322968     Source Type: Journal    
DOI: 10.1177/1932296814554260     Document Type: Article

References (8)

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