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Developing a Chinese Food Nutrient Data Analysis System for Precise Dietary Intake Management

  • Xiaowei Xu
  • Li Hou
  • Zhen Guo
  • Ju Wang
  • Jiao LiEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10968)

Abstract

A big mount of dietary data can be recorded in the daily life with the development of Internet of Things (e.g., RFID-equipped food carriers and food vending machines). Via monitoring and analyzing of personal dietary, it can provide valuable information for disease diagnosis, body weight control, and dietary habit management. The big data analysis benefits for patients, dieters, nutritionists and individuals who concern their health. While various techniques have been used for dietary monitoring in clinical trials and user studies, they are not ready for daily use. Existing solutions either require tedious manual recording or may impede normal daily activities. In this paper, we designed a smart big data framework using RFID technology to analyze the nutrition intake from dietary every day. The framework is capable to record Chinese food dietary information efficiently and effectively. It is promising for individuals and dietarians to set up personalized nutrient plan in the future.

Keywords

Big data Dietary record Nutrition analysis Chinese food 

Notes

Acknowledgements

This study was supported by the Key Laboratory of Medical Information Intelligent Technology Chinese Academy of Medical Sciences, The National Key Research and Development Program of China (Grant No. 2016YFC0901901), the National Population and Health Scientific Data Sharing Program of China, and the Knowledge Centre for Engineering Sciences and Technology (Medical Centre).

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Xiaowei Xu
    • 1
  • Li Hou
    • 1
  • Zhen Guo
    • 1
  • Ju Wang
    • 2
  • Jiao Li
    • 1
    Email author
  1. 1.Institute of Medical InformationChinese Academy of Medical Sciences/Peking Union Medical CollegeBeijingChina
  2. 2.The University of Texas Health Science Center at HoustonHoustonUSA

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