Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Predicting Daily Cardiovascular Emergencies Using Weather and Air Quality Data: A 23‐Year Machine‐Learning Analysis in Taiwan

Saved in:
Bibliographic Details
Published in:GeoHealth
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1867845262208139264
collection WordPress RSS
FRELIP Feed Integration
container_title GeoHealth
description
discipline_display Environmental Studies
discipline_facet Environmental Studies
format Online Article
RSS Article
genre Journal Article
id rss_article:90970
institution FRELIP
journal_source_facet GeoHealth
last_indexed 2026-06-13T02:00:50.500Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Predicting Daily Cardiovascular Emergencies Using Weather and Air Quality Data: A 23‐Year Machine‐Learning Analysis in Taiwan
Environmental Studies
General
Environmental Studies
sub_discipline_display General
sub_discipline_facet General
subject_display Environmental Studies
General
Environmental Studies
Environmental Studies
General
Environmental Studies
subject_facet Environmental Studies
General
Environmental Studies
title Predicting Daily Cardiovascular Emergencies Using Weather and Air Quality Data: A 23‐Year Machine‐Learning Analysis in Taiwan
title_auth Predicting Daily Cardiovascular Emergencies Using Weather and Air Quality Data: A 23‐Year Machine‐Learning Analysis in Taiwan
title_full Predicting Daily Cardiovascular Emergencies Using Weather and Air Quality Data: A 23‐Year Machine‐Learning Analysis in Taiwan
title_fullStr Predicting Daily Cardiovascular Emergencies Using Weather and Air Quality Data: A 23‐Year Machine‐Learning Analysis in Taiwan
title_full_unstemmed Predicting Daily Cardiovascular Emergencies Using Weather and Air Quality Data: A 23‐Year Machine‐Learning Analysis in Taiwan
title_short Predicting Daily Cardiovascular Emergencies Using Weather and Air Quality Data: A 23‐Year Machine‐Learning Analysis in Taiwan
title_sort predicting daily cardiovascular emergencies using weather and air quality data: a 23‐year machine‐learning analysis in taiwan
topic Environmental Studies
General
Environmental Studies
url https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2025GH001769?af=R