Study on the prediction performance of AIDS monthly incidence in Xinjiang based on time series and deep learning models
Abstract Objective AIDS is a highly fatal infectious disease of Class B, and Xinjiang is a high-incidence region for AIDS in China. The core of prevention and control lies in early monitoring and early warning. This study aims to identify the best model for predicting the monthly AIDS incidence in X...
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| Autores principales: | , , , , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
BMC
2025-02-01
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| Colección: | BMC Public Health |
| Materias: | |
| Acceso en línea: | https://doi.org/10.1186/s12889-025-21982-3 |
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