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

Published Online: 2023-10-09

Authors

Ohashi, Yukitaka

Ihara, Tomohiko

Oka, Kazutaka

Takane, Yuya

Kikegawa, Yukihiro
Funding

Funding for this research was provided by:

Japan Society for the Promotion of Science (20H03949)
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Text and Data Mining valid from 2023-10-09

Version of Record valid from 2023-10-09
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Article History

Received: 28 March 2023

Accepted: 4 October 2023

First Online: 9 October 2023

Competing interests

: The authors declare no competing interests.

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