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Deep-Learning Model for Influenza Prediction From Multisource Heterogeneous Data in a Megacity: Model Development and Evaluation.
Yang, Liuyang; Li, Gang; Yang, Jin; Zhang, Ting; Du, Jing; Liu, Tian; Zhang, Xingxing; Han, Xuan; Li, Wei; Ma, Libing; Feng, Luzhao; Yang, Weizhong.
Afiliação
  • Yang L; Department of Management Science and Information System, Faculty of Management and Economics, Kunming University of Science and Technology, Kunming, China.
  • Li G; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
  • Yang J; Beijing Centre for Disease Prevention and Control, Beijing, China.
  • Zhang T; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
  • Du J; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
  • Liu T; Beijing Centre for Disease Prevention and Control, Beijing, China.
  • Zhang X; Jingzhou Center for Disease Control and Prevention, Jingzhou, China.
  • Han X; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
  • Li W; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
  • Ma L; The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.
  • Feng L; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
  • Yang W; Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Guilin Medical University, Guilin, China.
J Med Internet Res ; 25: e44238, 2023 02 13.
Article em En | MEDLINE | ID: mdl-36780207

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Influenza Humana / Epidemias / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Med Internet Res Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Influenza Humana / Epidemias / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Med Internet Res Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China