The comparative analysis of SARIMA, Facebook Prophet, and LSTM for road traffic injury prediction in Northeast China.

Feng, Tianyu; Zheng, Zhou; Xu, Jiaying; Liu, Minghui; Li, Ming; Jia, Huanhuan; Yu, Xihe

Feng, Tianyu; Zheng, Zhou; Xu, Jiaying; Liu, Minghui; Li, Ming; Jia, Huanhuan; Yu, Xihe.

Afiliação

Feng T; School of Public Health, Jilin University, Changchun, China.
Zheng Z; School of Public Health, Jilin University, Changchun, China.
Xu J; School of Public Health, Jilin University, Changchun, China.
Liu M; School of Public Health, Jilin University, Changchun, China.
Li M; School of Public Health, Jilin University, Changchun, China.
Jia H; School of Public Health, Jilin University, Changchun, China.
Yu X; School of Public Health, Jilin University, Changchun, China.

Front Public Health ; 10: 946563, 2022.

Article em En | MEDLINE | ID: mdl-35937210

Assuntos

Infecções Respiratórias; Mídias Sociais; China/epidemiologia; Estudos Transversais; Gastos em Saúde; Recursos em Saúde; Humanos

Palavras-chave

comparative study; machine learning; predictive models; road traffic injuries; time series analysis

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Infecções Respiratórias / Mídias Sociais Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Front Public Health Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

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