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Knowledge Management of Vegetarian Food for the Elderly Using DCNN: An Empirical Study in Thailand

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  • Athakorn Kengpol

    (King Mongkut's University of Technology North Bangkok, Thailand)

  • Wilaitip Punyota

    (King Mongkut's University of Technology North Bangkok, Thailand)

Abstract

According to the literature reviews on knowledge management, no evidence has been found on the knowledge management of vegetarian food among elderly people with chronic diseases. The objective of this research is to apply knowledge management in identifying appropriate vegetarian food for the elderly with chronic disease by using the deep convolutional neural network (DCNN). The contribution of this research is to enable people to use knowledge management and collect knowledge to create a machine learning algorithm system so that the elderly can access knowledge of vegetarian food in relation to chronic disease. The benefits of this research are that the elderly can learn to consume appropriate food based upon their chronic disease, and the food producers can provide food menus accordingly.

Suggested Citation

  • Athakorn Kengpol & Wilaitip Punyota, 2022. "Knowledge Management of Vegetarian Food for the Elderly Using DCNN: An Empirical Study in Thailand," International Journal of Knowledge and Systems Science (IJKSS), IGI Global, vol. 13(2), pages 1-17, April.
    • Handle: RePEc:igg:jkss00:v:13:y:2022:i:2:p:1-17
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJKSS.298012
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    Cited by:

    1. Piyanuch Arunrukthavon & Dittapong Songsaeng & Chadaporn Keatmanee & Songphon Klabwong & Mongkol Ekpanyapong & Matthew N. Dailey, 2022. "Diagnostic Performance of Artificial Intelligence for Interpreting Thyroid Cancer in Ultrasound images," International Journal of Knowledge and Systems Science (IJKSS), IGI Global, vol. 13(1), pages 1-13, January.

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