使用Apriori算法,挖掘出兰州市2007年空气质量和气象因子与上呼吸道感染发病人数之间的关联规则,研究了气象因子和空气质量变化对上呼吸道感染发病人数的影响。结果表明:上呼吸道感染的发病与前1天的空气污染程度及低温,前3天的低温、高湿度和一定的空气污染及前5天的低温和高湿度等条件有很大程度的关联。
The Apriori algorithm was used to explore the relationship between upper respiratory infections and air quality and meteorological factors in Lanzhou City and quantitatively described the influence of air quality and meteorological on upper respiratory infections. The results showed that, the incidence of upper respiratory tract infections had a greater degree of correlation with air pollution and low temperature on the previous day, low temperature, high humidity and air pollution on the previous three days, and low temperature and high humidity on the previous five days.