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Automatic Detection System for Food Allergies and Intolerances in Recipes

机译:食谱中食物过敏和不耐受的自动检测系统

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摘要

This paper has presented a collaborative multi-agent system composed by experts that represent different machine learning techniques, able to automatically detect food allergies in nutrients. Moreover, the system includes a decision-maker agent that collects different opinions from the experts and, finally, labels ingredients with their potential allergens. Furthermore, the daily task of feed is facilitated and re-educated helping the users (with some food allergy) to acquire new eating habits to follow a healthy diet.
机译:本文提出了一个由专家组成的协作式多智能体系统,这些系统代表不同的机器学习技术,能够自动检测营养素中的食物过敏。此外,该系统还包括一个决策者代理,该代理可以从专家那里收集不同的意见,并最终为其成分加上潜在的过敏原标签。此外,饲料的日常工作得到了便利和重新教育,帮助使用者(有些食物过敏)养成新的饮食习惯,以遵循健康的饮食习惯。

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