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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8319225/
https://www.ncbi.nlm.nih.gov/pubmed/34321480
http://dx.doi.org/10.1038/s41467-021-24823-0

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