Automatic detection of anomalies in blood glucose using a machine learning approach

Journal of Communications and Networks

Volumn 13, Issue 2, 2011, Pages 125-131

  Zhu, Ying ^a  

^a UNIVERSITY OF ONTARIO INSTITUTE OF TECHNOLOGY   (Canada)

Author keywords

Blood glucose; Machine learning; Medical monitoring

Indexed keywords

ARTIFICIAL INTELLIGENCE; BLOOD; GLUCOSE; LEARNING SYSTEMS; PATIENT MONITORING;

AUTOMATIC DETECTION; BLOOD GLUCOSE; BLOOD GLUCOSE LEVEL; HIDDEN-MARKOV MODELS; HISTORIC DATA; MACHINE LEARNING APPROACHES; MACHINE-LEARNING; MEASUREMENTS OF; OBSERVED DATA; PHYSIOLOGICAL DATA;

HIDDEN MARKOV MODELS;

EID: 79956322809     PISSN: 12292370     EISSN: None     Source Type: Journal    
DOI: 10.1109/JCN.2011.6157411     Document Type: Article

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