Abstract
The number of asthmatic attacks was predicted by a time series data analysis in the areas divided into the coastal place and the inland place in Himeji city. As a result, SARIMA model obtained the highest total of CC=0.733, MAPE = 13.4 in inland place, and AR model obtained the highest total of CC=0.549, MAPE = 13.9 in coastal place. The prediction in inland place got enough precision. On the other hand, the prediction in the coastal place didn’t get enough precision. Therefore, it was confirmed that the prediction in some areas by time series models was difficult.
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Kikuchi, S., Kaku, Y., Kuramoto, K., Kobashi, S., Hata, Y. (2014). Regional Analysis and Predictive Modeling for Asthmatic Attacks in Himeji City. In: Kim, Y., Ryoo, Y., Jang, Ms., Bae, YC. (eds) Advanced Intelligent Systems. Advances in Intelligent Systems and Computing, vol 268. Springer, Cham. https://doi.org/10.1007/978-3-319-05500-8_8
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DOI: https://doi.org/10.1007/978-3-319-05500-8_8
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