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Deep learning models for hepatitis E incidence prediction leveraging Baidu index

Deep learning models for hepatitis E incidence prediction leveraging Baidu index

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_460bf93512004dd1a34283a3754edcfe

Deep learning models for hepatitis E incidence prediction leveraging Baidu index

About this item

Full title

Deep learning models for hepatitis E incidence prediction leveraging Baidu index

Publisher

England: BioMed Central Ltd

Journal title

BMC public health, 2024-10, Vol.24 (1), p.3014-10, Article 3014

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Infectious diseases are major medical and social challenges of the 21
century. Accurately predicting incidence is of great significance for public health organizations to prevent the spread of diseases. Internet search engine data, like Baidu search index, may be useful for analyzing epidemics and improving prediction.
We collected data on he...

Alternative Titles

Full title

Deep learning models for hepatitis E incidence prediction leveraging Baidu index

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_460bf93512004dd1a34283a3754edcfe

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_460bf93512004dd1a34283a3754edcfe

Other Identifiers

ISSN

1471-2458

E-ISSN

1471-2458

DOI

10.1186/s12889-024-20532-7

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