Heatstroke predictions by machine learning, weather information, and an all-population registry for 12-hour heatstroke alerts

GSTDTAP > 资源环境科学

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).