Predictive Neural Networks for Learning the Time Course of Blood Glucose Levels from the Complex Interaction of Counterregulatory Hormones - Prank, Klaus; Jürgens, Clemens; von zur Mühlen, Alexander; Brabant, Georg (Neural computation, 1998)
Keywords: Applied sciences; Artificial intelligence; Biological and medical sciences; Blood Glucose - metabolism; Computer science; control theory; systems; Computerized, statistical medical data processing and models in biomedicine; Epinephrine - secretion; Exact sciences and technology; Glucagon - secretion; Hormones - secretion; Human Growth Hormone - secretion; Humans; Hypoglycemic Agents - pharmacology; Insulin - pharmacology; Male; Medical management aid. Diagnosis aid; Medical sciences; Nerve Net; Problem solving, game playing; Prognosis; Reference Values; Reproducibility of Results; Time Factors; Error estimation; System performance; Computer simulation; Diabetes mellitus; Prediction; Decision aid; Network architecture; Neural network; Hypoglycemia; Learning algorithm; Medical application