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Skip search results from other journals and go to results- 2 JMIR mHealth and uHealth
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Based on the corresponding factors, as well as important aspects with a close connection to the topic of food and population health, we collectively identified the core data content (such as ingredients, nutrients, cooking method, and dietary function) that needed to be covered in our multimodal food knowledge graph. We then analyzed the characteristics of information retrieval inputs for specific populations, clinicians, and dietitians, as well as based on our experience from a previous study [44].
JMIR Form Res 2024;8:e55088
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Reliability Issues of Mobile Nutrition Apps for Cardiovascular Disease Prevention: Comparative Study
Managing these nutrients is crucial for early prevention efforts [6,7]. In this context, the advent of mobile diet-tracking apps may offer a modern solution for monitoring dietary saturated fats and cholesterol, with benefits such as accessibility, cost-effectiveness, and efficiency over traditional dietary assessment methods [8-10].
Khazen et al [11] has categorized diet-tracking apps into 2 main types: academic and commercial.
JMIR Mhealth Uhealth 2024;12:e54509
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Nutrition, Obesity, and Seborrheic Dermatitis: Systematic Review
nutrients
JMIR Dermatol 2024;7:e50143
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app is able to assess the daily intake of food groups, energy, and nutrients in comparison with dietitian-administered 24-hour dietary recalls using the Globo Diet software (International Agency for Research on Cancer) in adults. This study focused on systematic differences at the food group and nutrient levels, with random error being of secondary interest.
JMIR Mhealth Uhealth 2024;12:e50196
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