Using Machine Learning Approaches to Enhance Heatwave Measurement for Vulnerability Assessment and Timely Management of Heat-related Health Services

Using Machine Learning Approaches to Enhance Heatwave Measurement for Vulnerability Assessment and Timely Management of Heat-related Health Services

Climate change is one of the most critical challenges facing Australia and the global community today. Data from the Australian Bureau of Meteorology (BoM) indicates that Australia has been experiencing rising temperatures, particularly since the late 20th century. The frequency, duration, and inte...

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Bibliographic Details
Main Authors: Le Jian, Dimpal Patel, Jing Guo, Jianguo Xiao, Janis Jansz, Grace Yun, Ting Lin, Laura Kirkland, Tim Landrigan, Andrew Robertson
Format: Article
Language:English
Published: ACHSM 2024-12-01
Series:Asia Pacific Journal of Health Management
Subjects:
Machine learning
climate change
heatwave measurement
Online Access:http://journal.achsm.org.au/index.php/achsm/article/view/4195
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http://journal.achsm.org.au/index.php/achsm/article/view/4195

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