國家衛生研究院 NHRI:Item 3990099045/15702
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    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/15702


    Title: Development of an artificial intelligence-based precise nutrition and dietary management model with nutrient intake recommendation framework
    Authors: Liu, CY;Wu, PH;Lee, HA;Huang, TT;Yen, LH;Hsu, CY
    Contributors: National Institute of Cancer Research
    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.
    Date: 2024-01-30
    Relation: Lecture Notes in Electrical Engineering. 2024 Jan 30;1133:336-344.
    Link to: http://dx.doi.org/10.1007/978-981-99-9416-8_53
    Cited Times(Scopus): https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85184823760
    Appears in Collections:[其他] 會議論文/會議摘要

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