國家衛生研究院 NHRI:Item 3990099045/16004
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 12189/12972 (94%)
造访人次 : 954811      在线人数 : 661
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻
    主页登入上传说明关于NHRI管理 到手机版
    國家衛生研究院 NHRI > 癌症研究所 > 其他 > 期刊論文 >  Item 3990099045/16004


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://ir.nhri.org.tw/handle/3990099045/16004


    题名: Precision nutrition management in continuous care: Leveraging AI for user-reported dietary data analysis
    作者: Lee, HA;Liu, CY;Hsu, CY
    贡献者: National Institute of Cancer Research
    摘要: A As health technology advances, this study aims to develop an innovative nutritional intake management system that integrates artificial intelligence technology and social media software to achieve precise analysis of patient-generated data and comprehensive management in continuous care. Our system is built on the Line Bot platform, allowing users to easily and intuitively obtain detailed analyses of their individual nutritional intake by reporting dietary information. While users report their dietary habits through the Line Bot, our AI model conducts real-time analysis of nutrient intake, providing personalized nutritional recommendations. This instantaneous feedback not only enhances user engagement in nutritional management but also aids in establishing healthy habits. Additionally, through integration with social media software, our system facilitates information sharing and community support among users, promoting the exchange of nutritional knowledge and mutual assistance. This study further explores the specific needs of patients with chronic diseases, collecting individual data on chronic conditions and total nutritional intake. Based on the nutritional intake guidelines proposed by the Health Promotion Administration in Taiwan, more precise nutritional management recommendations are provided to meet the unique health needs of each patient. This study introduces a comprehensive, patient-generated data-based approach for precision nutrition management in continuous care. By integrating artificial intelligence, social media software, and data analysis, our system not only offers effective tools for monitoring and managing patients' nutritional intake but also fosters interaction and support among patients, driving the implementation of continuous care practices.
    日期: 2024-07-24
    關聯: Studies in Health Technology and Informatics. 2024 Jul 24;315:256-261.
    Link to: http://dx.doi.org/10.3233/shti240148
    Cited Times(Scopus): https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85199623368
    显示于类别:[其他] 期刊論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    PUB39049264.pdf293KbAdobe PDF34检视/开启


    在NHRI中所有的数据项都受到原著作权保护.

    TAIR相关文章

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