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Machine learning application for the prediction of SARS-CoV-2 infection using blood tests and chest radiograph.
Du, Richard; Tsougenis, Efstratios D; Ho, Joshua W K; Chan, Joyce K Y; Chiu, Keith W H; Fang, Benjamin X H; Ng, Ming Yen; Leung, Siu-Ting; Lo, Christine S Y; Wong, Ho-Yuen F; Lam, Hiu-Yin S; Chiu, Long-Fung J; So, Tiffany Y; Wong, Ka Tak; Wong, Yiu Chung I; Yu, Kevin; Yeung, Yiu-Cheong; Chik, Thomas; Pang, Joanna W K; Wai, Abraham Ka-Chung; Kuo, Michael D; Lam, Tina P W; Khong, Pek-Lan; Cheung, Ngai-Tseung; Vardhanabhuti, Varut.
Affiliation
  • Du R; Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China.
  • Tsougenis ED; Artificial Intelligence Lab, Head Office Information Technology and Health Informatics Division, Hospital Authority, Hong Kong, SAR, China.
  • Ho JWK; Artificial Intelligence Lab, Head Office Information Technology and Health Informatics Division, Hospital Authority, Hong Kong, SAR, China.
  • Chan JKY; The School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China.
  • Chiu KWH; Clinical Systems, Information Technology and Health Informatics Division, Hospital Authority, Hong Kong, SAR, China.
  • Fang BXH; Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China.
  • Ng MY; Department of Radiology, Queen Mary Hospital, Hong Kong, SAR, China.
  • Leung ST; Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China.
  • Lo CSY; Department of Medical Imaging, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
  • Wong HF; Department of Radiology, Pamela Youde Nethersole Eastern Hospital, Hong Kong, SAR, China.
  • Lam HS; Department of Radiology, Hong Kong Sanatorium & Hospital, Hong Kong, SAR, China.
  • Chiu LJ; Department of Radiology, Queen Mary Hospital, Hong Kong, SAR, China.
  • So TY; Department of Radiology, Queen Mary Hospital, Hong Kong, SAR, China.
  • Wong KT; Department of Radiology and Imaging, Queen Elizabeth Hospital, Hong Kong, SAR, China.
  • Wong YCI; Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
  • Yu K; Department of Imaging and Interventional Radiology, Prince of Wales Hospital, Hong Kong, SAR, China.
  • Yeung YC; Department of Radiology, Tuen Muen Hospital, Hong Kong, SAR, China.
  • Chik T; Department of Radiology, Tuen Muen Hospital, Hong Kong, SAR, China.
  • Pang JWK; Department of Medicine, Princess Margaret Hospital, Hong Kong, SAR, China.
  • Wai AK; Department of Medicine, Princess Margaret Hospital, Hong Kong, SAR, China.
  • Kuo MD; Health Informatics, Information Technology and Health Informatics Division, Hospital Authority, Hong Kong, SAR, China.
  • Lam TPW; Emergency Medicine Unit, Li Ka Shing, Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
  • Khong PL; Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China.
  • Cheung NT; Department of Radiology, Queen Mary Hospital, Hong Kong, SAR, China.
  • Vardhanabhuti V; Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China.
Sci Rep ; 11(1): 14250, 2021 07 09.
Article in En | MEDLINE | ID: mdl-34244563
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Full text: 1 Collection: 01-internacional Health context: 4_TD Database: MEDLINE Main subject: Machine Learning / COVID-19 Testing / SARS-CoV-2 / COVID-19 / Models, Biological Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Adult / Female / Humans / Male / Middle aged Language: En Journal: Sci Rep Year: 2021 Document type: Article
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Health context: 4_TD Database: MEDLINE Main subject: Machine Learning / COVID-19 Testing / SARS-CoV-2 / COVID-19 / Models, Biological Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Adult / Female / Humans / Male / Middle aged Language: En Journal: Sci Rep Year: 2021 Document type: Article