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An Online Multimodal Food Data Exploration Platform for Specific Population Health: Development Study
Lin Yang1,2, Zhen Guo1,2, Xiaowei Xu1,2
1Institute of Medical Information and Library, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, China.
A new online platform, Food Atlas, provides accessible, evidence-based nutrition data for healthier food choices across different life stages. It features a multimodal food knowledge graph and user-friendly interactions, demonstrating high usability and consistency.
Area of Science:
- Nutrition Science
- Health Informatics
- Data Science
Background:
- Nutrient needs change throughout life, impacting overall health and disease prevention.
- Accessible, credible online food knowledge empowers healthier dietary choices for diverse populations.
- Current online resources may lack comprehensive, evidence-based dietary data.
Purpose of the Study:
- To develop an online multimodal food data exploration platform for accessing evidence-based diet and nutrition information.
- To create a user-friendly platform with a high-quality food knowledge graph for specific populations, such as pregnant women.
- To evaluate the platform's usability and effectiveness from both system and user perspectives.
Main Methods:
- Developed the "Food Atlas" online platform in collaboration with experts from the National Institute of Nutrition and Health and Peking Union Medical College Hospital.
- Constructed a multimodal food knowledge graph with 2011 entities and 23,497 images, featuring interactive visualizations and natural language/image-text retrieval.
- Evaluated the platform's usability with 28 participants across four user groups (pregnant, clinicians, dietitians) using the System Usability Scale.
Main Results:
- The Food Atlas knowledge graph contains 2011 entities and 26 relation types, offering comprehensive data and functions superior to existing platforms.
- The platform achieved a mean System Usability Scale score of 82.5, indicating above-average usability tailored to target users.
- 96% of participants found the platform highly consistent, highlighting the value of involving health professionals in developing online resources.
Conclusions:
- The developed online multimodal food data exploration platform meets the demand for accessible, credible, and evidence-based dietary resources.
- Broader implementation of such platforms can disseminate nutrition knowledge, aiding healthier food choices across all life stages.
- Further research and development can enhance the popularization of evidence-based nutrition information for public health improvement.
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