Abstract
AR model is a model that is applied to time-series data in statistics, is used to predict the future from past data. In this study, we predicted using the AR model the number of asthmatic attacks of each region in Himeji, investigated the relevance of the region and cause of asthmatic attacks, and aimed to improve the accuracy of prediction system the number of asthmatic attacks by age. The result is estimated the number of asthmatic attacks in 2006-2010 from data 2001-2005, were compared with the true value. In a particular region, good results was obtained in the prediction of the elderly had been considered a low autocorrelation. Therefore we confirmed that asthmatic attacks involved not only generation but also region.
