Prediction of the number of asthmatic attacks of each generation in Himeji by Fuzzy-AR model
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- Yusho Kaku
- Graduate School of Engineering University of hyogo
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- Kei Kuramoto
- Graduate School of Engineering University of hyogo
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- Syoji Kobashi
- Graduate School of Engineering University of hyogo
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- Yutaka Hata
- Graduate School of Engineering University of hyogo
Bibliographic Information
- Other Title
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- Fuzzy-ARモデルを用いた姫路市の年代別喘息発作数予測
- Fuzzy-AR モデル オ モチイタ ヒメジシ ノ ネンダイ ベツ ゼンソク ホッサスウ ヨソク
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Abstract
In our study, prediction of the number of asthmatic attacks in Himeji city next month from 1 to 4 years old and 65 years old or older. Fuzzy-AR model learns from 2001 to 2005 and predicts the number of asthmatic attacks using data from 2006 to 2010. We evaluated our prediction results by using correlation coefficient between predicted value and ground truth value and compared Fuzzy-AR model and AR model. As a result, 65 years old or older was not able to be predicted by each model. However in age of 1 to 4, Fuzzy-AR model was able to predict higher correlation coefficient than AR model.
Journal
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- Proceedings of the Fuzzy System Symposium
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Proceedings of the Fuzzy System Symposium 28 (0), 193-198, 2012
Japan Society for Fuzzy Theory and Intelligent Informatics
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Details 詳細情報について
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- CRID
- 1390001205674000000
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- NII Article ID
- 130005456040
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- NII Book ID
- AA12165648
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- ISSN
- 18820212
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- NDL BIB ID
- 023988433
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed