• DocumentCode
    1788145
  • Title

    An integrated approach of diet and exercise recommendations for diabetes patients

  • Author

    Faiz, Irshad ; Mukhtar, Hamid ; Khan, Sharifullah

  • Author_Institution
    Nat. Univ. of Sci. & Technol., Islamabad, Pakistan
  • fYear
    2014
  • fDate
    15-18 Oct. 2014
  • Firstpage
    537
  • Lastpage
    542
  • Abstract
    Diabetes is among one of the fastest growing disease all over the world. Controlled diet and proper exercise are considered as a treatment to control diabetes. However, food and exercise suggestions in existing solutions do not consider integrated knowledge from personal profile, preferences, current vital signs, diabetes domain, food domain and exercise domain. Furthermore, there is a strong correlation of diet and exercise. We have implemented an ontology based integrated approach to combine knowledge from various domains to generate diet and exercise suggestions for diabetics. The solution is developed as a Semantic Healthcare Assistant for Diet and Exercise (SHADE). For each domain (person, diabetes, food and exercise) we have defined separate ontology along with rules and then an integrated ontology combines these individual ontologies. Finally, diet recommendations are presented in the form of various alternative menus such that each menu is a healthy and balanced diet.
  • Keywords
    medical information systems; ontologies (artificial intelligence); patient monitoring; SHADE; balanced diet; controlled diet; diabetes domain; diabetes patients; diet recommendations; exercise domain; exercise recommendations; food domain; ontology based integrated approach; personal profile; proper exercise; semantic healthcare assistant for diet and exercise; vital signs; Barium; Conferences; DH-HEMTs; Hafnium; Diabetes; ontology; semantics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    e-Health Networking, Applications and Services (Healthcom), 2014 IEEE 16th International Conference on
  • Conference_Location
    Natal
  • Type

    conf

  • DOI
    10.1109/HealthCom.2014.7001899
  • Filename
    7001899