This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2226) Usability of Apps and User Perceptions of mHealth (902) Innovations and Technology for Healthy Eating Education (400) Instruments and Questionnaires for Nutrition and Food Intake (159) mHealth for Wellness, Behavior Change and Prevention (2754) Food Sciences and Nutrition Engineering (51)

Published on in Vol 6, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31875, first published .
Nutrient and Food Group Prediction as Orchestrated by an Automated Image Recognition System in a Smartphone App (CALO mama): Validation Study

Nutrient and Food Group Prediction as Orchestrated by an Automated Image Recognition System in a Smartphone App (CALO mama): Validation Study

Nutrient and Food Group Prediction as Orchestrated by an Automated Image Recognition System in a Smartphone App (CALO mama): Validation Study

Authors of this article:

Yuki Sasaki1 Author Orcid Image ;   Koryu Sato1, 2 Author Orcid Image ;   Satomi Kobayashi1 Author Orcid Image ;   Keiko Asakura3 Author Orcid Image
Article Authors Cited by (7) Tweetations (10) Metrics

Yuki Sasaki   1 , MPH ;   Koryu Sato   1, 2 , MPH ;   Satomi Kobayashi   1 , PhD ;   Keiko Asakura   3 , PhD

1 Link & Communication Inc, Tokyo, Japan

2 Department of Social Epidemiology, Graduate School of Medicine and School of Public Health, Kyoto University, Kyoto, Japan

3 Department of Environmental and Occupational Health, School of Medicine, Toho University, Tokyo, Japan

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