Automatic Classification of High vs. Low Individual Nutrition Literacy Levels from Loyalty Card Data in Switzerland-Reference-Cited by-同舟云学术

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Automatic Classification of High vs. Low Individual Nutrition Literacy Levels from Loyalty Card Data in Switzerland

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 7th International Workshop on Multimedia Assisted Dietary Management on Multimedia Assisted Dietary Management
language:
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Author:

Blöchlinger Marc¹,Wu Jing¹,Mayer Simon¹,Fuchs Klaus L.²,Stoll Melanie³,Bally Lia³

Affiliation:

1. University of St. Gallen, St. Gallen, Switzerland

2. ETH Zurich, Zurich, Switzerland

3. University Hospital of Bern, Bern, Switzerland

Funder

Swiss National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3552484.3555744

Reference59 articles.

1. Risks associated with low functional health literacy in an Australian population

2. Large-scale and high-resolution analysis of food purchases and health outcomes;Aiello Luca Maria;EPJ Data Science,2019

3. Carukshi Arambepola , Peter Scarborough , and Mike Rayner . 2008. Validating a nutrient profile model. Public health nutrition , Vol. 11 , 4 ( 2008 ), 371--378. https://doi.org/10.1017/S1368980007000377 10.1017/S1368980007000377 Carukshi Arambepola, Peter Scarborough, and Mike Rayner. 2008. Validating a nutrient profile model. Public health nutrition, Vol. 11, 4 (2008), 371--378. https://doi.org/10.1017/S1368980007000377

4. The measurement and conceptualization of nutrition knowledge;Axelson Marta L;Journal of Nutrition Education,1992

5. From nutrients to nurturance: A conceptual introduction to food well-being;Block Lauren G;Journal of Public Policy & Marketing,2011

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