Dengue Early Warning System and Outbreak Prediction Tool in Bangladesh Using Interpretable Tree‐Base...
Dengue Early Warning System and Outbreak Prediction Tool in Bangladesh Using Interpretable Tree‐Based Machine Learning Model
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United States
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Language
English
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Publisher
United States
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Scope and Contents
Contents
A life-threatening vector-borne disease, dengue fever (DF), poses significant global public health and economic threats, including Bangladesh. Determining dengue risk factors is crucial for early warning systems to forecast disease epidemics and develop efficient control strategies. To address this, we propose an interpretable tree-based machine le...
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Full title
Dengue Early Warning System and Outbreak Prediction Tool in Bangladesh Using Interpretable Tree‐Based Machine Learning Model
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TN_cdi_proquest_miscellaneous_3202861044
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_3202861044
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ISSN
2398-8835
E-ISSN
2398-8835
DOI
10.1002/hsr2.70726