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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‐Base...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_3202861044

Dengue Early Warning System and Outbreak Prediction Tool in Bangladesh Using Interpretable Tree‐Based Machine Learning Model

About this item

Full title

Dengue Early Warning System and Outbreak Prediction Tool in Bangladesh Using Interpretable Tree‐Based Machine Learning Model

Publisher

United States

Journal title

Health science reports, 2025-05, Vol.8 (5), p.e70726

Language

English

Formats

Publication information

Publisher

United States

More information

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...

Alternative Titles

Full title

Dengue Early Warning System and Outbreak Prediction Tool in Bangladesh Using Interpretable Tree‐Based Machine Learning Model

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_3202861044

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_3202861044

Other Identifiers

ISSN

2398-8835

E-ISSN

2398-8835

DOI

10.1002/hsr2.70726

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