Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1038/s41467-021-24823-0 |
Heatstroke predictions by machine learning, weather information, and an all-population registry for 12-hour heatstroke alerts | |
Ogata, Soshiro; Takegami, Misa; Ozaki, Taira; Nakashima, Takahiro; Onozuka, Daisuke; Murata, Shunsuke; Nakaoku, Yuriko; Suzuki, Koyu; Hagihara, Akihito; Noguchi, Teruo; Iihara, Koji; Kitazume, Keiichi; Morioka, Tohru; Yamazaki, Shin; Yoshida, Takahiro; Yamagata, Yoshiki; Nishimura, Kunihiro | |
2021-07-28 | |
发表期刊 | Nature Communications |
出版年 | 2021 |
领域 | 资源环境 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/335472 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Ogata, Soshiro,Takegami, Misa,Ozaki, Taira,et al. Heatstroke predictions by machine learning, weather information, and an all-population registry for 12-hour heatstroke alerts[J]. Nature Communications,2021. |
APA | Ogata, Soshiro.,Takegami, Misa.,Ozaki, Taira.,Nakashima, Takahiro.,Onozuka, Daisuke.,...&Nishimura, Kunihiro.(2021).Heatstroke predictions by machine learning, weather information, and an all-population registry for 12-hour heatstroke alerts.Nature Communications. |
MLA | Ogata, Soshiro,et al."Heatstroke predictions by machine learning, weather information, and an all-population registry for 12-hour heatstroke alerts".Nature Communications (2021). |
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