Forecast of Dengue Cases in 20 Chinese Cities Based on the Deep Learning Method.

Xu, Jiucheng; Xu, Keqiang; Li, Zhichao; Meng, Fengxia; Tu, Taotian; Xu, Lei; Liu, Qiyong

Xu, Jiucheng; Xu, Keqiang; Li, Zhichao; Meng, Fengxia; Tu, Taotian; Xu, Lei; Liu, Qiyong.

Afiliação

Xu J; College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China.
Xu K; Engineering Technology Research Center for Computing Intelligence and Data Mining, Xinxiang 453007, China.
Li Z; Engineering Lab of Intelligence Business & Internet of Things, Xinxiang 453007, China.
Meng F; College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China.
Tu T; Engineering Lab of Intelligence Business & Internet of Things, Xinxiang 453007, China.
Xu L; Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China.
Liu Q; Center for Healthy Cities, Institute for China Sustainable Urbanization, Tsinghua University, Beijing 100084, China.

Int J Environ Res Public Health ; 17(2)2020 01 10.

Article em En | MEDLINE | ID: mdl-31936708

Assuntos

Aprendizado Profundo; Dengue/epidemiologia; Previsões; Cidades/epidemiologia; Surtos de Doenças; Humanos; Incidência; Redes Neurais de Computação

Palavras-chave

deep learning; dengue fever; forecast model; long short-term memory; transfer learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Dengue / Previsões / Aprendizado Profundo Tipo de estudo: Incidence_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

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