Analyzing and Forecasting Pediatric Fever Clinic Visits in High Frequency Using Ensemble Time-Series Methods After the COVID-19 Pandemic in Hangzhou, China: Retrospective Study.

Zhang, Wang; Zhu, Zhu; Zhao, Yonggen; Li, Zheming; Chen, Lingdong; Huang, Jian; Li, Jing; Yu, Gang

Zhang, Wang; Zhu, Zhu; Zhao, Yonggen; Li, Zheming; Chen, Lingdong; Huang, Jian; Li, Jing; Yu, Gang.

Afiliación

Zhang W; Department of Data and Information, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Zhu Z; Sino-Finland Joint AI Laboratory for Child Health of Zhejiang Province, Hangzhou, China.
Zhao Y; National Clinical Research Center for Child Health, Hangzhou, China.
Li Z; Department of Data and Information, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Chen L; Sino-Finland Joint AI Laboratory for Child Health of Zhejiang Province, Hangzhou, China.
Huang J; National Clinical Research Center for Child Health, Hangzhou, China.
Li J; Department of Data and Information, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yu G; Sino-Finland Joint AI Laboratory for Child Health of Zhejiang Province, Hangzhou, China.

JMIR Med Inform ; 11: e45846, 2023 Sep 20.

Article en En | MEDLINE | ID: mdl-37728972

Palabras clave

COVID-19; hospital management; long sequence; outpatient visits; pediatric fever clinic; time-series forecasting; visits in high frequency

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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: JMIR Med Inform Año: 2023 Tipo del documento: Article

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