食品与机械2025，Vol.41Issue(7)：235-242,8.DOI:10.13652/j.spjx.1003.5788.2025.80128
机器学习在食品营养与健康研究中的应用
Advances in the application of machine learning to food nutrition and health
摘要
Abstract
A balanced diet is fundamental to maintaining human health and preventing or reducing the risk of chronic non-communicable diseases.Efficient and accurate analysis of nutritional and functional components in food,followed by the provision of personalized nutritional guidance,is a research hotspot in the field of food nutrition and health.This article reviews the research progress on artificial intelligence technologies,such as machine learning,in the analysis of food nutritional components,functional component analysis and screening,and personalized nutrition,and highlights the pressing issues that need to be addressed in this field.关键词
机器学习/深度学习/食品营养/个性化营养Key words
machine learning/deep learning/food nutrition/personalized nutrition引用本文复制引用
周鑫,李大鹏..机器学习在食品营养与健康研究中的应用[J].食品与机械,2025,41(7):235-242,8.基金项目
山东省重点研发计划项目(编号:2021TZXD007) （编号:2021TZXD007）
国家自然科学基金面上项目(编号:32472342) （编号:32472342）
