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

Athakorn Kengpol and Wilaitip Punyota
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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

International Journal of Knowledge and Systems Science (IJKSS), 2022, vol. 13, issue 2, 1-17

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.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jkss00:v:13:y:2022:i:2:p:1-17

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