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Knowledge Management in Healthcare Sustainability: A Smart Healthy Diet Assistant in Traditional Chinese Medicine Culture

Author

Listed:
  • Yang Chi

    (College of Computer Science and Technology, Jilin University, Changchun 130012, China)

  • Congcong Yu

    (College of Computer Science and Technology, Jilin University, Changchun 130012, China)

  • Xiaohui Qi

    (College of Computer Science and Technology, Jilin University, Changchun 130012, China)

  • Hao Xu

    (College of Computer Science and Technology, Jilin University, Changchun 130012, China
    School of Management, Jilin University, Changchun 130012, China
    Department of Computer Science and Technology, Zhuhai College of Jilin University, Zhuhai 519041, China
    Symbol Computation and Knowledge Engineer of Ministry of Education, Jilin University, Changchun 130012, China)

Abstract

In the past 40 years, with the changes to dietary structure and the dramatic increase in the consumption of meat products in developing countries, especially in China, encouraging populations to maintain their previous healthy eating patterns will have health, environmental, and economic co-benefits. Healthy diet education plays an important role in the promotion of people’s healthy behavior. However, in the modern age, the data regarding healthy diets available on the internet is increasing rapidly and is distributed on multiple sources. It is time-consuming for users to learn about healthy diets on the internet: they need to search data on multiple platforms, choose and integrate information, and then understand what they have learned. To help people retrieve and learn healthy diet knowledge more efficiently and comprehensively, this paper designs a knowledge graph to integrate healthy diet information on the internet and provides a semantic retrieval system. In the knowledge graph, five main concepts are defined, including food material, dish, nutritional element, symptom, and crowd, as well as the relationships among them. In addition, Chinese dietary culture elements and traditional Chinese medicine (TCM) theory are also contained in the knowledge graph. The preliminary results show that by using the system, users learn healthy diet knowledge more quickly and comprehensively and they are more inclined to have balanced diets. This work could be regarded as a retrieval and education tool, which can assist healthcare and national sustainable development.

Suggested Citation

  • Yang Chi & Congcong Yu & Xiaohui Qi & Hao Xu, 2018. "Knowledge Management in Healthcare Sustainability: A Smart Healthy Diet Assistant in Traditional Chinese Medicine Culture," Sustainability, MDPI, vol. 10(11), pages 1-21, November.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:11:p:4197-:d:182768
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    References listed on IDEAS

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    1. Emiko Fukase & Will Martin, 2016. "Who Will Feed China in the 21st Century? Income Growth and Food Demand and Supply in China," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(1), pages 3-23, February.
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    3. Barile, Sergio & Saviano, Marialuisa & Polese, Francesco, 2014. "Information asymmetry and co-creation in health care services," Australasian marketing journal, Elsevier, vol. 22(3), pages 205-217.
    4. Donglei Song & Yu Xia & Rusi Wang & Hao Xu, 2018. "Using Traditional Chinese Medicine Ideas as a Mechanism to Engage People in Health Awareness," Sustainability, MDPI, vol. 10(8), pages 1-12, August.
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    Cited by:

    1. Faramarz Khosravi & Gokhan Izbirak & Kehinde Adewale Adesina, 2019. "An Exponentially Distributed Stochastic Model for Sustainability Measurement of a Healthcare System," Sustainability, MDPI, vol. 11(5), pages 1-16, March.
    2. Alla Mostepaniuk & Turgay Akalin & Mohammad Reza Parish, 2023. "Practices Pursuing the Sustainability of A Healthcare Organization: A Systematic Review," Sustainability, MDPI, vol. 15(3), pages 1-21, January.

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