中国食物与营养2024，Vol.30Issue(11)：61-65,5.
"大数据+人工智能"在营养健康领域的应用研究
Application Research of "Big Data+Artificial Intelligence" in The Field of Nutrition and Health
摘要
Abstract
[Objective]To understand the application status and challenges of "Big data+Artificial intelligence" technology in the field of nutrition and health,and provide reference for promoting innovation of "Big data+Artificial intelligence" in the field of nutrition and health to promote and improve the level of national nutrition and health.[Method]By conducting computer searches on China National Knowledge Infrastructure (CNKI) academic paper databases,Wanfang databases,VIP databases,PubMed,Web of Science,Cochrane Library,Embase,and other relevant literature,we conducted in-depth analysis of the application and challenges of "Big data+Artificial intelligence" in the field of nutrition and health using methods such as literature review and information research.[Result]Technologies such as "Big data+Artificial intelligence" have greatly promoted the development of the field of nutrition and health,playing a key role in dietary nutrition assessment and recommendation,disease prediction and management,food identification and ingredient analysis,health guidance and personalized advice,and nutrition and health education. At the same time,"Big data and Artificial intelligence" still face many challenges in the field of nutrition and health from theory to practice.[Conclusion]By comprehensively integrating big data related to nutrition and health,combining artificial intelligence technology,and emphasizing data security,personalized accurate evaluation of nutritional status can be established,and nutritional intervention measures and recommendations can be adjusted in real time,so that diseases can be more effectively prevented and managed,ultimately achieving the goal of national health.关键词
"大数据+人工智能"/营养评估/膳食调查/健康管理Key words
"Big Data+Artificial Intelligence"/nutrition assessment/dietary survey/health management引用本文复制引用
宫伟彦,丁彩翠,袁帆,刘爱玲.."大数据+人工智能"在营养健康领域的应用研究[J].中国食物与营养,2024,30(11):61-65,5.基金项目
国家重点研发计划"膳食营养评估和干预技术研究项目"(项目编号:2020YFC2006300)、"膳食数据精准采集及营养评估技术的建立"(项目编号:2020YFC2006301). （项目编号:2020YFC2006300）
