Predictive Neural Networks for Learning the Time Course of Blood Glucose Levels from the Complex Interaction of Counterregulatory Hormones

Neural Computation

Volumn 10, Issue 4, 1998, Pages 941-953

  Prank, Klaus ^a   Jürgens, Clemens ^a   Von Zur Mühlen, Alexander ^a   Brabant, Georg ^a  

^a HANNOVER MEDICAL SCHOOL   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ADRENALIN; ANTIDIABETIC AGENT; GLUCAGON; HORMONE; HUMAN GROWTH HORMONE; INSULIN;

ARTICLE; GLUCOSE BLOOD LEVEL; HUMAN; MALE; METABOLISM; NERVE CELL NETWORK; PROGNOSIS; REFERENCE VALUE; REPRODUCIBILITY; SECRETION; TIME;

BLOOD GLUCOSE; EPINEPHRINE; GLUCAGON; HORMONES; HUMAN GROWTH HORMONE; HUMANS; HYPOGLYCEMIC AGENTS; INSULIN; MALE; NERVE NET; PROGNOSIS; REFERENCE VALUES; REPRODUCIBILITY OF RESULTS; TIME FACTORS;

EID: 0032523525     PISSN: 08997667     EISSN: None     Source Type: Journal    
DOI: 10.1162/089976698300017566     Document Type: Article

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