Predicting the reduction in heatstroke and heart disease-related mortality under urban modification scenarios using machine learning
This study proposes a novel approach combining machine learning (ML) techniques with meteorological model simulations to evaluate the heat-related mortality reduction potential of a climate change adaptation measure, namely, the installation of energy-saving or temperature-decreasing modifications i...
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Main Authors: | Yukitaka Ohashi, Ko Nakajima, Yuya Takane, Yukihiro Kikegawa, Tomohiko Ihara, Kazutaka Oka |
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Format: | Article |
Language: | English |
Published: |
IOP Publishing
2025-01-01
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Series: | Environmental Research: Health |
Subjects: | |
Online Access: | https://doi.org/10.1088/2752-5309/ada96e |
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