Evaluating the effectiveness of self-attention mechanism in tuberculosis time series forecasting
Evaluating the effectiveness of self-attention mechanism in tuberculosis time series forecasting
About this item
Full title
Author / Creator
Lv, Zhihong , Sun, Rui , Liu, Xin , Wang, Shuo , Guo, Xiaowei , Lv, Yuan , Yao, Min and Zhou, Junhua
Publisher
England: BioMed Central Ltd
Journal title
Language
English
Formats
Publication information
Publisher
England: BioMed Central Ltd
Subjects
More information
Scope and Contents
Contents
With the increasing impact of tuberculosis on public health, accurately predicting future tuberculosis cases is crucial for optimizing of health resources and medical service allocation. This study applies a self-attention mechanism to predict the number of tuberculosis cases, aiming to evaluate its effectiveness in forecasting.
Monthly tubercul...
Alternative Titles
Full title
Evaluating the effectiveness of self-attention mechanism in tuberculosis time series forecasting
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_d0a4c1e1551f4aada5a3343b885f3969
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d0a4c1e1551f4aada5a3343b885f3969
Other Identifiers
ISSN
1471-2334
E-ISSN
1471-2334
DOI
10.1186/s12879-024-10183-9
