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...
Saved in:
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: | |
Online Access: | https://doi.org/10.1088/2752-5309/ada96e |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Heatstroke characteristics and meteorological conditions in Hefei, China: thresholds and driving factors
by: Xueliang Deng, et al.
Published: (2025-01-01) -
Hyperbaric oxygen therapy attenuates heatstroke-induced hippocampal injury by inhibiting microglial pyroptosis
by: Ancong Xu, et al.
Published: (2024-12-01) -
Physical activity during summer and recognition of heatstroke prevention among patients with cardiovascular disease in an urban area of Japan: a descriptive study
by: Takuji Adachi, et al.
Published: (2025-01-01) -
HMGB1 released from pyroptotic vascular endothelial cells promotes immune disorders in exertional heatstroke
by: Chaoping Yu, et al.
Published: (2024-12-01) -
Datasets for quantifying association between short-term exposure to maximum temperature and heatstroke-related ambulance dispatches in Japan: A time-stratified case-crossover designZenodo
by: Keita Wagatsuma
Published: (2025-04-01)