一种基于多模态数据融合的个性化膳食数据处理方法
本申请涉及膳食数据处理与健康管理技术领域,提供了一种基于多模态数据融合的个性化膳食数据处理方法,包括:获取目标对象的生理表征图像数据和主观评估数据进行融合处理以生成生理状态标签;获取时序环境特征并结合生理状态标签匹配膳食规划规则以生成前置膳食规划数据;获取实际膳食摄入多维数据并基于生理状态标签执行膳食适配度评估,同时针对特定属性物质执行安全校验以生成膳食评估报告。本申请实现了膳食干预的全周期闭环数据处理与安全管控,提升了个性化适配精度与安全性。
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