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An interpretable machine learning model based on a quick pre-screening system enables accurate deterioration risk prediction for COVID-19.
Jia, Lijing; Wei, Zijian; Zhang, Heng; Wang, Jiaming; Jia, Ruiqi; Zhou, Manhong; Li, Xueyan; Zhang, Hankun; Chen, Xuedong; Yu, Zheyuan; Wang, Zhaohong; Li, Xiucheng; Li, Tingting; Liu, Xiangge; Liu, Pei; Chen, Wei; Li, Jing; He, Kunlun.
Afiliação
  • Jia L; Department of Emergency, The First Medical Center to Chinese People's Liberation Army General Hospital, Beijing, China.
  • Wei Z; Washington University in St. Louis, St. Louis, USA.
  • Zhang H; Department of Emergency, The First Medical Center to Chinese People's Liberation Army General Hospital, Beijing, China.
  • Wang J; School of Economics and Management, Beijing Jiaotong University, Beijing, China.
  • Jia R; School of Economics and Management, Beijing Jiaotong University, Beijing, China.
  • Zhou M; Department of Emergency, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
  • Li X; School of Management, Beijing Union University, Beijing, China.
  • Zhang H; School of E-Business and Logistics, Beijing Technology and Business University, Beijing, China.
  • Chen X; School of Economics and Management, Beijing Jiaotong University, Beijing, China.
  • Yu Z; School of Economics and Management, Beijing Jiaotong University, Beijing, China.
  • Wang Z; School of Economics and Management, Beijing Jiaotong University, Beijing, China.
  • Li X; School of Economics and Management, Beijing Jiaotong University, Beijing, China.
  • Li T; School of Economics and Management, Beijing Jiaotong University, Beijing, China.
  • Liu X; School of Economics and Management, Beijing Jiaotong University, Beijing, China.
  • Liu P; School of Economics and Management, Beijing Jiaotong University, Beijing, China.
  • Chen W; Department of Emergency, The Third Medical Center to Chinese People's Liberation Army General Hospital, Beijing, China. drchenwei@vip.sina.com.
  • Li J; School of Economics and Management, Beijing Jiaotong University, Beijing, China. jingli@bjtu.edu.cn.
  • He K; Department of Emergency, The First Medical Center to Chinese People's Liberation Army General Hospital, Beijing, China. kunlunhe@plagh.org.
Sci Rep ; 11(1): 23127, 2021 11 30.
Article em En | MEDLINE | ID: mdl-34848736
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Adult / Humans / Middle aged Idioma: En Revista: Sci Rep Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Adult / Humans / Middle aged Idioma: En Revista: Sci Rep Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China