Nutritional Survey and Dietary Assessment in the Age of Big Data

A special issue of Nutrients (ISSN 2072-6643). This special issue belongs to the section "Nutrition Methodology & Assessment".

Deadline for manuscript submissions: 15 December 2024 | Viewed by 46

Special Issue Editors


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Guest Editor
Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China
Interests: nutrition epidemiology; prevention and control of NCDs; evaluation of population health; health management statistics
Special Issues, Collections and Topics in MDPI journals
Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China
Interests: epidemiologic study and nutritional interventions; maternal and child malnutrition; longitude data analysis methods

Special Issue Information

Dear Colleagues,

We are organizing a Special Issue focused on Nutritional Survey and Dietary Assessment in the Age of Big Data.

In this Special Issue of Nutrients, we welcome original research articles, animal and clinical studies, as well as review articles on the current state of research.

In the evolving fields of nutrition and public health, the incorporation of big data analytics into methodologies for nutritional surveys and dietary assessments signifies a critical advancement. This Special Issue, entitled "Nutritional Survey and Dietary Assessment in the Age of Big Data", aims to examine the forefront of this incorporation, highlighting the approaches, challenges, and opportunities presented. The introduction of big data technologies provides an unparalleled ability to process and analyze extensive datasets, thereby empowering researchers and practitioners to determine complex patterns, trends, and associations with dietary habits and nutritional health. This Special Issue calls for contributions that delve into the development and use of big data analytics in the context of nutrition surveys, dietary intake assessments and their implications for public health policy and individual dietary recommendations. By presenting cutting-edge research and insights, this Special Issue aims to provide more ideas and more effective strategies for nutrition and health research in the era of big data.

Dr. Yaling Zhao
Dr. Baibing Mi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Nutrients is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • automated multiple-pass method
  • big data
  • computer vision
  • dietary assessment
  • dietary assessment toolkits
  • dietary intake
  • dietary patterns
  • dietary record method
  • dietary recall system
  • diet surveys
  • food composition
  • food frequency questionnaire
  • food monitoring
  • food recognition
  • food segmentation
  • health nutrient index
  • ingredient recognition
  • large-scale datasets
  • nutrition analytics
  • nutrition estimation
  • nutrition for special populations
  • online dietary assessment tools
  • pattern recognition
  • precision nutrition
  • portion size estimation
  • twenty-four-hour dietary recall

Published Papers

This special issue is now open for submission.
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