英文摘要 |
To support consumers to adhere to better food-safety practices, TFDA conducts post-market surveillance for selected high risk items with the cooperation and supports of local health authorities. This study aimed on pre-identifying several high risk parameters for a TFDA 2019 project named “Combined Project of New Year-Survey for Restaurants of New-Year's Dishes” by using big data analysis assisted with statistic and scientific risk factors. The analytical processes mainly adopted the failure reports from food cloud data system. The results are able to provide suggestions for future risks by looking into the historical pattern of past inspection records. The result showed: 1.”phallus indusiatus” was the high risk item of New-Year dishes. It was suggested that both quality and origin inspection were indeed; 2. After classifying all inspected cities and counties by risk dimension framework, suggestions were proposed for the five cities and countries who got statistical significant of examination failure. |