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: | , , , , , , , , , , , , , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/eabce182db884c9da55d3f0e13addb3e |
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