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

In the context of climate change, heatstroke is expected to become an increasingly relevant public health concern. Here, the authors develop and validate prediction models for the number of all heatstroke cases in different cities in Japan.

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Autores principales:	Soshiro Ogata, Misa Takegami, Taira Ozaki, Takahiro Nakashima, Daisuke Onozuka, Shunsuke Murata, Yuriko Nakaoku, Koyu Suzuki, Akihito Hagihara, Teruo Noguchi, Koji Iihara, Keiichi Kitazume, Tohru Morioka, Shin Yamazaki, Takahiro Yoshida, Yoshiki Yamagata, Kunihiro Nishimura
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/eabce182db884c9da55d3f0e13addb3e
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spelling	oai:doaj.org-article:eabce182db884c9da55d3f0e13addb3e2021-12-02T16:31:49ZHeatstroke predictions by machine learning, weather information, and an all-population registry for 12-hour heatstroke alerts10.1038/s41467-021-24823-02041-1723https://doaj.org/article/eabce182db884c9da55d3f0e13addb3e2021-07-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-24823-0https://doaj.org/toc/2041-1723In the context of climate change, heatstroke is expected to become an increasingly relevant public health concern. Here, the authors develop and validate prediction models for the number of all heatstroke cases in different cities in Japan.Soshiro OgataMisa TakegamiTaira OzakiTakahiro NakashimaDaisuke OnozukaShunsuke MurataYuriko NakaokuKoyu SuzukiAkihito HagiharaTeruo NoguchiKoji IiharaKeiichi KitazumeTohru MoriokaShin YamazakiTakahiro YoshidaYoshiki YamagataKunihiro NishimuraNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Soshiro Ogata Misa Takegami Taira Ozaki Takahiro Nakashima Daisuke Onozuka Shunsuke Murata Yuriko Nakaoku Koyu Suzuki Akihito Hagihara Teruo Noguchi Koji Iihara Keiichi Kitazume Tohru Morioka Shin Yamazaki Takahiro Yoshida Yoshiki Yamagata Kunihiro Nishimura Heatstroke predictions by machine learning, weather information, and an all-population registry for 12-hour heatstroke alerts
description	In the context of climate change, heatstroke is expected to become an increasingly relevant public health concern. Here, the authors develop and validate prediction models for the number of all heatstroke cases in different cities in Japan.
format	article
author	Soshiro Ogata Misa Takegami Taira Ozaki Takahiro Nakashima Daisuke Onozuka Shunsuke Murata Yuriko Nakaoku Koyu Suzuki Akihito Hagihara Teruo Noguchi Koji Iihara Keiichi Kitazume Tohru Morioka Shin Yamazaki Takahiro Yoshida Yoshiki Yamagata Kunihiro Nishimura
author_facet	Soshiro Ogata Misa Takegami Taira Ozaki Takahiro Nakashima Daisuke Onozuka Shunsuke Murata Yuriko Nakaoku Koyu Suzuki Akihito Hagihara Teruo Noguchi Koji Iihara Keiichi Kitazume Tohru Morioka Shin Yamazaki Takahiro Yoshida Yoshiki Yamagata Kunihiro Nishimura
author_sort	Soshiro Ogata
title	Heatstroke predictions by machine learning, weather information, and an all-population registry for 12-hour heatstroke alerts
title_short	Heatstroke predictions by machine learning, weather information, and an all-population registry for 12-hour heatstroke alerts
title_full	Heatstroke predictions by machine learning, weather information, and an all-population registry for 12-hour heatstroke alerts
title_fullStr	Heatstroke predictions by machine learning, weather information, and an all-population registry for 12-hour heatstroke alerts
title_full_unstemmed	Heatstroke predictions by machine learning, weather information, and an all-population registry for 12-hour heatstroke alerts
title_sort	heatstroke predictions by machine learning, weather information, and an all-population registry for 12-hour heatstroke alerts
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/eabce182db884c9da55d3f0e13addb3e
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Heatstroke predictions by machine learning, weather information, and an all-population registry for 12-hour heatstroke alerts

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