Evaluating the effectiveness of self-attention mechanism in tuberculosis time series forecasting
The self-attention model can effectively improve the prediction accuracy of tuberculosis cases, providing guidance for health departments optimizing of health resources and medical service allocation.
Authors
- Yuan Lv (ORCID: https://orcid.org/0000-0001-5889-2695)
- Xin Liu (ORCID: https://orcid.org/0000-0002-2344-3766)
- Min Yao (ORCID: https://orcid.org/0009-0004-6603-0197)
- Shuo Wang (ORCID: https://orcid.org/0000-0002-7570-8738)
- Junhua Zhou
- Xiaowei Guo (ORCID: https://orcid.org/0000-0002-2131-9921)
- Rui Sun
- Zhihong Lv
Institutions
- Hunan Normal University (CN)
- Hunan Provincial Center for Disease Control and Prevention (CN)
- Changsha University of Science and Technology (CN)
Publication Details
- Journal
- BMC Infectious Diseases
- Published
- 2024-12-03
- DOI
- https://doi.org/10.1186/s12879-024-10183-9
- Citations
- 5
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 1.74
Funders
- National Natural Science Foundation of China