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

This study aims to develop and validate prediction models for the number of all heatstroke cases, and heatstrokes of hospital admission and death cases per city per 12 h, using multiple weather information and a population-based database for heatstroke patients in 16 Japanese cities (corresponding t...

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Detalhes bibliográficos
Publicado no:Nat Commun
Main Authors: 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
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2021
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8319225/
https://ncbi.nlm.nih.gov/pubmed/34321480
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-021-24823-0
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