Ontology and semantic matching for diabetic food recommendations

@article{Arwan2013OntologyAS,
  title={Ontology and semantic matching for diabetic food recommendations},
  author={A. Arwan and Bayu Priyambadha and R. Sarno and M. Sidiq and Heri Kristianto},
  journal={2013 International Conference on Information Technology and Electrical Engineering (ICITEE)},
  year={2013},
  pages={170-175}
}
  • A. Arwan, Bayu Priyambadha, +2 authors Heri Kristianto
  • Published 2013
  • Computer Science
  • 2013 International Conference on Information Technology and Electrical Engineering (ICITEE)
  • Foods recommendation for diabetes patients is indispensable for controlling blood sugar levels. Currently, the foods preparation is done by a nutrition expert. The patient's dependence on the nutrition experts is very high, thus the selection of foods could not be done independently. The Automation system to determine foods combination for diabetic patients is needed to solve these problems. In this study, the automation system has been designed and implemented. The technologies used in this… CONTINUE READING
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