English  |  正體中文  |  简体中文  |  Items with full text/Total items : 12145/12927 (94%)
Visitors : 849984      Online Users : 703
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    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

    Files in This Item:

    File SizeFormat
    SCP85184823760.pdf871KbAdobe PDF73View/Open


    All items in NHRI are protected by copyright, with all rights reserved.

    Related Items in TAIR

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback