Applicability of machine learning techniques in food intake assessment: A systematic review-Reference-Cited by-同舟云学术

Applicability of machine learning techniques in food intake assessment: A systematic review

Published:2021-07-29 Issue: Volume: Page:1-18
ISSN:1040-8398
Container-title:Critical Reviews in Food Science and Nutrition
language:en
Short-container-title:Critical Reviews in Food Science and Nutrition

Author:

Oliveira Chaves Larissa¹^ORCID,Gomes Domingos Ana Luiza¹^ORCID,Louzada Fernandes Daniel²^ORCID,Ribeiro Cerqueira Fabio³^ORCID,Siqueira-Batista Rodrigo⁴⁵^ORCID,Bressan Josefina¹^ORCID

Affiliation:

1. Department of Nutrition and Health, Universidade Federal de Viçosa, Viçosa, Brazil

2. Department of Informatics, Universidade Federal de Viçosa, Viçosa, Brazil

3. Department of Production Engineering, Universidade Federal Fluminense, Petrópolis, Brazil

4. Department of Medicine and Nursing, Universidade Federal de Viçosa, Viçosa, Brazil

5. School of Medicine of the Faculdade Dinâmica do Vale do Piranga, Ponte Nova, Brazil

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,General Medicine,Food Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/10408398.2021.1956425

Reference78 articles.

1. Development of a Smartphone Application for Dietary Self-Monitoring

2. Heart Disease Diagnosis Using Data Mining Techniques

3. Machine learning as a strategy to account for dietary synergy: an illustration based on dietary intake and adverse pregnancy outcomes

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