Abstract
In order to improve people’s understanding of healthy eating, various countries have issued numerous dietary guidelines to provide guidance for their populations. However, surveys have shown that the adherence to dietary guideline recommendations is generally low among the majority of individuals. Furthermore, without assistance, the motivation to adjust their diet based on these recommendations is reduced. Therefore, for a more convenient and accurate assistance in managing diet and nutritional intake, a system needs to be developed that can calculate the daily recommended calorie intake and servings of the six major food groups according to the dietary guidelines. This system can then generate a nutritionally balanced daily menu for users to reference, allowing them to easily fulfill their daily nutritional requirements by following the provided menu.
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References
WHO. (2020). The top 10 causes of death. Accessed 03 Dec 2022. https://www.who.int/news-room/fact-sheets/detail/the-top-10-causes-of-death
H. P. Administration Nutrition and Health Survey in Taiwan, NAHSIT (2022). https://www.hpa.gov.tw/Pages/List.aspx?nodeid=3998
H. P. Administration. Dietary Guideline of Taiwan (2022). https://www.hpa.gov.tw/Pages/EBook.aspx?nodeid=1208
Gille, D., et al.: Nutrition behavior of the middle-aged and elderly: Compliance with dietary recommendations of the food pyramid. Clin. Nutr. 35(3), 638–644 (2016)
Fowler, L.A., et al.: Digital food records in community-based interventions: mixed-methods pilot study. JMIR Mhealth Uhealth, 6(7), e160 (2018)
Jinnette, R., Narita, A., Manning, B., McNaughton, S.A., Mathers, J.C., Livingstone, K.M.: Does personalized nutrition advice improve dietary intake in healthy adults? A systematic review of randomized controlled trials. Adv. Nutr.Nutr. 12(3), 657–669 (2021)
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Liu, CY., Wu, PH., Lee, HA., Huang, TT., Yen, LH., Hsu, CY. (2024). Development of an Artificial Intelligence-Based Precise Nutrition and Dietary Management Model with Nutrient Intake Recommendation Framework. In: Hung, J.C., Yen, N., Chang, JW. (eds) Frontier Computing on Industrial Applications Volume 3. FC 2023. Lecture Notes in Electrical Engineering, vol 1133. Springer, Singapore. https://doi.org/10.1007/978-981-99-9416-8_53
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DOI: https://doi.org/10.1007/978-981-99-9416-8_53
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