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
  • [21] A Knowledge Graph Embedding Based Service Recommendation Method for Service-Based System Development
    Xie, Fang
    Zhang, Yiming
    Przystupa, Krzysztof
    Kochan, Orest
    ELECTRONICS, 2023, 12 (13)
  • [22] Socialized healthcare service recommendation using deep learning
    Yuan, Weiwei
    Li, Chenliang
    Guan, Donghai
    Han, Guangjie
    Khattak, Asad Masood
    NEURAL COMPUTING & APPLICATIONS, 2018, 30 (07): : 2071 - 2082
  • [23] A Cloud-based Service Recommendation System for Use in UCWW
    Ganchev, Ivan
    Ji, Zhanlin
    O'Droma, Mairtin
    2014 11TH INTERNATIONAL SYMPOSIUM ON WIRELESS COMMUNICATIONS SYSTEMS (ISWCS), 2014, : 791 - 795
  • [24] A Fuzzy-based Recommendation System for Cloud Accounting Service
    Gao, Xu
    Yu, Chunxia
    2016 13TH INTERNATIONAL CONFERENCE ON SERVICE SYSTEMS AND SERVICE MANAGEMENT, 2016,
  • [25] Personal History Based Recommendation Service System with Collaborative Filtering
    Kim, Jong-Hun
    Chung, Kyung-Yong
    Ryu, Joong-Kyung
    Rim, Kee-Wook
    Lee, Jung-Hyun
    PROCEEDINGS OF THE 2008 ADVANCED SOFTWARE ENGINEERING & ITS APPLICATIONS, 2008, : 261 - +
  • [26] Mobile Based Healthcare Tool an Integrated Disease Prediction & Recommendation System
    Rathi, Megha
    Pareek, Vikas
    INTERNATIONAL JOURNAL OF KNOWLEDGE AND SYSTEMS SCIENCE, 2019, 10 (01) : 38 - 62
  • [27] Diet life service system and intelligent product design for the elderly
    Song, Ruibo
    Jing, Pengfei
    Zhao, Zhengxin
    Ding, Dongming
    2021 2ND INTERNATIONAL CONFERENCE ON INTELLIGENT DESIGN (ICID 2021), 2021, : 445 - 450
  • [28] Context-Based Service Recommendation for Assisting Business Process Design
    Nguyen Ngoc Chan
    Gaaloul, Valid
    Tata, Samir
    E-COMMERCE AND WEB TECHNOLOGIES, 2011, 85 : 39 - 51
  • [29] FMS (Federated Model as a service) for healthcare: an automated secure-framework for personalized recommendation system
    Saini, Akshay
    Ramanathan, Krishnan
    CARDIOMETRY, 2021, (20): : 70 - 78
  • [30] Teaching resources recommendation system based on personality design
    Luo, Qi
    PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2007, : 4154 - 4158