Comparison of ARIMA and LSTM for prediction of hemorrhagic fever at different time scales in China.

Zhang, Rui; Song, Hejia; Chen, Qiulan; Wang, Yu; Wang, Songwang; Li, Yonghong

Zhang, Rui; Song, Hejia; Chen, Qiulan; Wang, Yu; Wang, Songwang; Li, Yonghong.

Afiliação

Zhang R; Chinese Center for Disease Control and Prevention, Beijing, China.
Song H; National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Chen Q; Chinese Center for Disease Control and Prevention, Beijing, China.
Wang Y; National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Wang S; Chinese Center for Disease Control and Prevention, Beijing, China.
Li Y; National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.

PLoS One ; 17(1): e0262009, 2022.

Article em En | MEDLINE | ID: mdl-35030203

Assuntos

Febres Hemorrágicas Virais/epidemiologia; Modelos Biológicos; Redes Neurais de Computação; China; Previsões; Humanos; Incidência

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Febres Hemorrágicas Virais / Modelos Biológicos Tipo de estudo: Incidence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País como assunto: Asia Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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