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Modeling COVID-19 disease processes by remote elicitation of causal Bayesian networks from medical experts

  • S. Mascaro
  • , Yue Wu
  • , O. Woodberry
  • , E.P. Nyberg
  • , Ross Pearson
  • , J.A. Ramsay
  • , A.O. Mace
  • , D.A. Foley
  • , T.L. Snelling
  • , A.E. Nicholson
  • , Alex Semprini
  • , A. Martin
  • , A. McLean-Tooke
  • , B. Marais
  • , B. Tang
  • , C. McLeod
  • , C.C. Blyth
  • , C. Lemoh
  • , C. Waddington
  • , D. Nolan
    • E. Raby, G. Perez, G. Marks, J. Denholm, L. Pilgram, N. Anstey, M. Plebanski, M. Boyd, M.L. Borland, M. Maze, M. John, P. Middleton, S. Craig, S.Y.C. Tong, S. Benson, T. Richards, COVID BN Advisory Group

Research output: Contribution to journal › Article › peer-review

15 Citations (Scopus)

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Pharmacology, Toxicology and Pharmaceutical Science