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  • [\'Biomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 211198, China; Big Data Research Institute, China Pharmaceutical University, Nanjing 211198, China.\', \'School of Life Science and Technology, China Pharmaceutical University, Nanjing 211198, China.\', \'Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093, USA.\', \'Futian Hospital for Rheumatic Diseases, Shenzhen 518000, China; Pinghu Hospital of Shenzhen University, Shenzhen 440307, China; Department of Rheumatology and Immunology, The First Clinical College of Harbin Medical University, Harbin 150001, China.\', \'Biomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 211198, China; Big Data Research Institute, China Pharmaceutical University, Nanjing 211198, China. Electronic address: xiaosheng.wang@cpu.edu.cn.\']
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?:doi
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  • S0048-9697(20)36339-710.1016/j.scitotenv.2020.142810
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  • The Science of the total environment
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?:pmid
  • 33097268
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?:title
  • Identifying novel factors associated with COVID-19 transmission and fatality using the machine learning approach.
?:type
?:year
  • 2021

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