Machine learning analysis and risk prediction of weather-sensitive mortality related to cardiovascular disease during summer in Tokyo, Japan

Climate-sensitive diseases developing from heat or cold stress threaten human health. Therefore, the future health risk induced by climate change and the aging of society need to be assessed. We developed a prediction model for mortality due to cardiovascular diseases such as myocardial infarction a...

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Detalles Bibliográficos
Autores principales: Ohashi, Yukitaka, Ihara, Tomohiko, Oka, Kazutaka, Takane, Yuya, Kikegawa, Yukihiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562479/
https://www.ncbi.nlm.nih.gov/pubmed/37813975
http://dx.doi.org/10.1038/s41598-023-44181-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562479/
https://www.ncbi.nlm.nih.gov/pubmed/37813975
http://dx.doi.org/10.1038/s41598-023-44181-9

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