Feed-forward neural network model for hunger and satiety related VAS score prediction.

Journal: Theoretical biology & medical modelling
PMID: 27387922

Abstract

BACKGROUND: An artificial neural network approach was chosen to model the outcome of the complex signaling pathways in the gastro-intestinal tract and other peripheral organs that eventually produce the satiety feeling in the brain upon feeding.

Authors

  • Shaji Krishnan
    Risk Analysis for Products In Development, TNO, Utrechtseweg 48, P.O. Box 360, Zeist, 3700 AJ, The Netherlands. shaji.krishnan@tno.nl.
  • Henk F J Hendriks
    Top Institute Food and Nutrition, Nieuwe Kanaal 9A, Wageningen, 6709 PA, The Netherlands.
  • Merete L Hartvigsen
    Department of Endocrinology and Internal Medicine, Aarhus University, Tage-Hansens Gade 2, Aarhus C, DK-8000, Denmark.
  • Albert A de Graaf
    Risk Analysis for Products In Development, TNO, Utrechtseweg 48, P.O. Box 360, Zeist, 3700 AJ, The Netherlands.

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