Modeling the trend of coronavirus disease 2019 and restoration of operational capability of metropolitan medical service in China: a machine learning and mathematical model-based analysis.

Liu, Zeye; Huang, Shuai; Lu, Wenlong; Su, Zhanhao; Yin, Xin; Liang, Huiying; Zhang, Hao

Liu, Zeye; Huang, Shuai; Lu, Wenlong; Su, Zhanhao; Yin, Xin; Liang, Huiying; Zhang, Hao.

Afiliação

Liu Z; 1State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037 China.
Huang S; 2Clinical Data Center, Guangzhou Women and Children's Medical Center, Guangzhou, 510623 Guangdong China.
Lu W; 1State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037 China.
Su Z; 1State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037 China.
Yin X; 3School of Software & Microelectronics, Peking University, Beijing, 102600 China.
Liang H; 2Clinical Data Center, Guangzhou Women and Children's Medical Center, Guangzhou, 510623 Guangdong China.
Zhang H; 4Heart center and Shanghai Institute of Pediatric Congenital Heart Disease, Shanghai Children's Medical Center, National Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, 200127 China.

Glob Health Res Policy ; 5: 20, 2020.

Article em En | MEDLINE | ID: mdl-32391439

Assuntos

COVID-19/epidemiologia; Surtos de Doenças; Aprendizado de Máquina; COVID-19/virologia; China/epidemiologia; Epidemias; Previsões; Humanos; Modelos Teóricos

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Surtos de Doenças / Aprendizado de Máquina / COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Glob Health Res Policy Ano de publicação: 2020 Tipo de documento: Article

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