Predicting the reduction in heatstroke and heart disease-related mortality under urban modification scenarios using machine learning

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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Bibliographic Details
Main Authors: Yukitaka Ohashi, Ko Nakajima, Yuya Takane, Yukihiro Kikegawa, Tomohiko Ihara, Kazutaka Oka
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Environmental Research: Health
Subjects:
heatstroke
ischemic heart diseases
machine learning
meteorological model
Tokyo
urban climate change
Online Access:https://doi.org/10.1088/2752-5309/ada96e
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https://doi.org/10.1088/2752-5309/ada96e

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