- 著者
- IKEDA Takashi KUSAKA Hiroyuki
- 出版者
- Meteorological Society of Japan
- 雑誌
- 気象集誌. 第2輯 (ISSN:00261165)
- 巻号頁・発行日
- pp.2021-067, (Released:2021-08-20)
- 被引用文献数
- 8
We developed fifty-five models for predicting the number of ambulance transport due to heatstroke (hereafter referred to as the number of patients with heatstroke) on the next day in Tokyo, using different combinations of eleven explanatory variables sets and five methods (three statistical models and two machine learning) for 10 years (2010-2019). The root mean square error (RMSE) for the number of heatstroke patients was minimal when the best model was developed by combining six explanatory variables (temperature, relative humidity, wind speed, solar radiation, number of days since June 1, and the number of patients with heatstroke on the previous day) and the generalized additive model. The best model remarkably improved prediction by 52.1 % compared to a widely used model, which primarily utilizes temperature as an explanatory variable and the generalized linear model as a method. Further analysis investigating the contribution of the explanatory variables and method to the prediction showed that RMSE was reduced by 49.7 % using the above six explanatory variables compared to using the only temperature and by 14.6 % using the generalized additive model compared to using the generalized linear model.
- 著者
- Hikichi Takafusa Matoba Ryo Ikeda Takashi Watanabe Akira Yamamoto Takuya Yoshitake Satoko Tamura-Nakano Miwa Kimura Takayuki Kamon Masayoshi Shimura Mari Kawakami Koichi Okuda Akihiko Okochi Hitoshi Inoue Takafumi Suzuki Atsushi Masui Shinji
- 出版者
- National Academy of Sciences
- 雑誌
- Proceedings of the National Academy of Sciences of the United States of America (ISSN:10916490)
- 巻号頁・発行日
- 2013-04-02
- 被引用文献数
- 31
初期化を阻害する転写因子が分化を促進する. 京都大学プレスリリース. 2013-04-02.
- 著者
- Ujita Hiroshi Ikeda Takashi Naitoh Masanori
- 出版者
- 一般社団法人日本機械学会
- 雑誌
- JSME international journal. Ser. B, Fluids and thermal engineering (ISSN:13408054)
- 巻号頁・発行日
- vol.45, no.3, pp.607-614, 2002-08-15
- 参考文献数
- 14
- 被引用文献数
- 5
SAMPSON is the integral code for severe accident analysis in detail with modular structure, developed in the IMPACT project. Each module can run independently and communication with multiple analysis modules supervised by the analysis control module makes an integral analysis possible. At the end of Phase 1 (1994 - 1997), demonstration simulations by combinations of up to 11 analysis modules had been performed and physical models in the code had been verified by separate-effect tests and validated by inegral tests. Multi-dimensional mechanistic models and theoretical-based conservation equations have been applied, during Phase 2 (1998 - 2000). New models for Accident Management evaluation have been also developed. Verificaton and validation have been performed by analysing separate-effect tests and inegral tests, while actual plant analyses are also being in progress.