Objective To design a risk prediction management model of hospital food safety based on big data mining. Methods The index system of hospital food safety risk assessment was established. The three-scale method was used to compare the importance of influencing food safety indexes, and the weight of each index was obtained. After that, the unqualified rate and unqualified number of detection indexes in food samples were calculated, and the unqualified rate and unqualified number of detection indexes were combined into a risk coefficient to complete the risk prediction of hospital food safety. Results The experiment proves that the hospital food safety risk prediction and management model designed based on big data mining is more accurate than the traditional model. Conclusion It can provide reference for the development of food safety field.
标题：基于大数据挖掘的医院食品安全风险预测管理模型
英文标题：Risk prediction management model of hospital food safety based on big data mining
作者：
杨丽娟 无锡市太湖医院
林键 无锡商业职业技术学院旅游管理学院
中文关键词:大数据挖掘,食品安全,风险预测,
英文关键词:big data mining,food safety,risk prediction,
