Design of Diet Recommendation System for Healthcare Service Based on

被引:0
|
作者
Kim, Jong-Hun [1 ]
Lee, Jung-Hyun [1 ]
Park, Jee-Song [2 ]
Lee, Young-Ho [2 ]
Rim, Kee-Wook [3 ]
机构
[1] Inha Univ, Dept Comp Sci, Inchon, South Korea
[2] Gachon Univ Med & Sci, Dept Informat Technol, Incheon, South Korea
[3] Sunmoon Univ, Dept Comp & Informat Sci, Chungnam, South Korea
关键词
Healthcare; Diet Recommendation; Preference;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In the recent aging society, studies on health care services have been actively conducted to provide quality services to medical consumers in wire and wireless environments. However, there are some problems in these health care services due to the lack of personalized service and the uniformed way in services. For solving these issues, studies on customized services in medical markets have been processed. However, because a diet recommendation service is only focused on the personal disease information, it is difficult to provide specific customized services to users. This study provides a customized diet recommendation service for preventing and managing coronary heart disease in health care services. This service provides a customized diet to customers by considering the basic information, vital sign, family history of diseases, food preferences according to seasons and intakes for the customers who are concerning about the coronary heart disease. The users who receive this service can use a customized diet service differed from the conventional service and that supports continuous services and helps changes in customers living habits.
引用
收藏
页码:516 / +
页数:2
相关论文
共 50 条
  • [41] A Service Recommendation System Based on Dynamic User Groups and Reinforcement Learning
    Zhang, En
    Ma, Wenming
    Zhang, Jinkai
    Xia, Xuchen
    ELECTRONICS, 2023, 12 (24)
  • [42] Trust based recommendation system in service-oriented cloud computing
    Kong, Dehua
    Zhai, Yuqing
    2012 INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND SERVICE COMPUTING (CSC), 2012, : 176 - 179
  • [43] Multi Cloud Based Service Recommendation System Using DBSCAN Algorithm
    Indira, K.
    Devi, M. K. Kavitha
    WIRELESS PERSONAL COMMUNICATIONS, 2020, 115 (02) : 1019 - 1034
  • [44] DESIGN AND EVALUATION OF ACTIVE RFID POSITIONING SYSTEM FOR HOME HEALTHCARE SERVICE
    Wang, Hsi-Wen
    Chiang, Shao-Shan
    Wu, Jeng-Hua
    Lee, Ren-Guey
    BIOMEDICAL ENGINEERING-APPLICATIONS BASIS COMMUNICATIONS, 2007, 19 (02): : 105 - 115
  • [45] Decoupling thinking in service operations: a case in healthcare delivery system design
    Wikner, Joakim
    Yang, Biao
    Yang, Ying
    Williams, Sharon J.
    PRODUCTION PLANNING & CONTROL, 2017, 28 (05) : 387 - 397
  • [46] Research on Library Recommendation Reading Service System Based on Adaptive Algorithm
    Huang, Zhenzhen
    Li, Tianxu
    Xiao, Shuo
    WIRELESS PERSONAL COMMUNICATIONS, 2018, 102 (02) : 1963 - 1977
  • [47] Web-Based Service Recommendation System by Considering User Requirements
    Malviya, Neha
    Jain, Sarika
    DATA SCIENCE AND BIG DATA ANALYTICS, 2019, 16 : 291 - 302
  • [48] A Social-Relationships-Based Service Recommendation System for SIoT Devices
    Khelloufi, Amar
    Ning, Huansheng
    Dhelim, Sahraoui
    Qiu, Tie
    Ma, Jianhua
    Huang, Runhe
    Atzori, Luigi
    IEEE INTERNET OF THINGS JOURNAL, 2021, 8 (03) : 1859 - 1870
  • [49] Integrating Evidence-Based Design and Experience-Based Approaches in Healthcare Service Design
    Carr, Valerie L.
    Sangiorgi, Daniela
    Buescher, Monika
    Junginger, Sabine
    Cooper, Rachel
    HERD-HEALTH ENVIRONMENTS RESEARCH & DESIGN JOURNAL, 2011, 4 (04) : 12 - 33
  • [50] Trusted Service Scheduling and Optimization Strategy Design of Service Recommendation
    Xia, Xiaona
    Yu, Jiguo
    Zhang, Shanshan
    Wu, Shu
    SECURITY AND COMMUNICATION NETWORKS, 2017,