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Can Clinical Symptoms and Laboratory Results Predict CT Abnormality? Initial Findings Using Novel Machine Learning Techniques in Children With COVID-19 Infections.
Ma, Huijing; Ye, Qinghao; Ding, Weiping; Jiang, Yinghui; Wang, Minhao; Niu, Zhangming; Zhou, Xi; Gao, Yuan; Wang, Chengjia; Menpes-Smith, Wade; Fang, Evandro Fei; Shao, Jianbo; Xia, Jun; Yang, Guang.
Afiliação
  • Ma H; Imaging Center, Tongji Medical College, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Huazhong University of Science & Technology, Wuhan, China.
  • Ye Q; Hangzhou Ocean's Smart Boya Co., Ltd, Hangzhou, China.
  • Ding W; Mind Rank Ltd, Hong Kong, China.
  • Jiang Y; School of Information Science and Technology, Nantong University, Nantong, China.
  • Wang M; Hangzhou Ocean's Smart Boya Co., Ltd, Hangzhou, China.
  • Niu Z; Mind Rank Ltd, Hong Kong, China.
  • Zhou X; Hangzhou Ocean's Smart Boya Co., Ltd, Hangzhou, China.
  • Gao Y; Mind Rank Ltd, Hong Kong, China.
  • Wang C; Mind Rank Ltd, Hong Kong, China.
  • Menpes-Smith W; Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom.
  • Fang EF; Department of Radiology, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, China.
  • Shao J; Aladdin Healthcare Technologies Ltd, London, United Kingdom.
  • Xia J; British Heart Foundation (BHF) Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
  • Yang G; Aladdin Healthcare Technologies Ltd, London, United Kingdom.
Front Med (Lausanne) ; 8: 699984, 2021.
Article em En | MEDLINE | ID: mdl-34195215
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article