A multivariate multi-step LSTM forecasting model for tuberculosis incidence with model explanation in Liaoning Province, China

BACKGROUND: Tuberculosis (TB) is the respiratory infectious disease with the highest incidence in China. We aim to design a series of forecasting models and find the factors that affect the incidence of TB, thereby improving the accuracy of the incidence prediction. RESULTS: In this paper, we develo...

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Detalles Bibliográficos
Autores principales: Yang, Enbin, Zhang, Hao, Guo, Xinsheng, Zang, Zinan, Liu, Zhen, Liu, Yuanning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9128107/
https://www.ncbi.nlm.nih.gov/pubmed/35606725
http://dx.doi.org/10.1186/s12879-022-07462-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9128107/
https://www.ncbi.nlm.nih.gov/pubmed/35606725
http://dx.doi.org/10.1186/s12879-022-07462-8

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