关联规则挖掘法在截获外来医学媒介生物风险性评估中的应用研究

发布时间：2018-11-08 09:15

【摘要】：目的探索国际航行船舶不同部位截获外来医学媒介生物的风险性及高风险位置之间的相关性。方法以宁波港为研究范围,开展为期一年半的船舶外来媒介生物携带情况调查,将到港外来医学媒介生物截获阳性的1 472艘次国际航行船舶列为研究对象,应用饼图法及基于SAS/EM的关联规则挖掘技术对船舶截获外来医学媒介生物的高风险部位及其关联性进行分析研究。结果船舶外来媒介生物截获风险性最高的位置是厨房(风险占比达到64.95%),以下依次是船前后甲板、垃圾储藏室、船员宿舱、食品库、餐厅等。而关联规则挖掘揭示出餐厅和厨房存在强相关性:船上餐厅能截获外来媒介生物,则有70.59%的可能性会在该船的厨房里再次截获到媒介生物(Confidence=70.59%,Support=6.58%,Lift=1.04)。结论关联规则挖掘等大数据分析技术的应用是国境卫生检疫增强把关效能,提升监管科学性和有效性的强有力工具,因而理应加快推广应用。
[Abstract]:Objective to explore the risk of intercepting exotic medical vectors in different parts of international ships and the correlation between high risk locations. Methods A year and a half investigation was carried out on the carrier status of foreign vectors in Ningbo Port, and 1 472 international navigation vessels which were intercepted positive by foreign medical vectors were included as the research objects. Using pie chart method and association rule mining technology based on SAS/EM, the high risk parts and their correlation of ship intercepting exotic medical vectors were analyzed and studied. Results the highest risk location of foreign vector interception was in kitchen (64.95%), followed by ship deck, garbage storage room, crew cabin, food storehouse, dining room and so on. However, association rules mining revealed strong correlation between dining room and kitchen: if the restaurant on board could intercept the alien vector, there was a 70.59% chance that the vector would be intercepted again in the kitchen of the ship (Confidence=70.59%,Support=6.58%,). Lift=1.04) Conclusion the application of big data analysis technology such as association rules mining is a powerful tool to enhance the effectiveness of frontier health quarantine and to enhance the scientific and effective supervision, so it should be speeded up to be popularized and applied.
【作者单位】：宁波出入境检验检疫局;
【基金】：国家质检总局科技计划项目(编号:2012B172)
【分类号】：R185.3

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