Skip to main navigation Skip to search Skip to main content

Cox proportional hazards deep neural network identifies peripheral blood complete remission to be at least equivalent to morphologic complete remission in predicting outcomes of patients treated with azacitidine-A prospective cohort study by the AGMT

  • Lisa Pleyer
  • , Marc Vaisband
  • , Manuel Drost
  • , Michael Pfeilstöcker
  • , Reinhard Stauder
  • , Sonja Heibl
  • , Heinz Sill
  • , Michael Girschikofsky
  • , Margarete Stampfl-Mattersberger
  • , Angelika Pichler
  • , Bernd Hartmann
  • , Andreas Petzer
  • , Martin Schreder
  • , Clemens A Schmitt
  • , Sonia Vallet
  • , Thomas Melchardt
  • , Armin Zebisch
  • , Petra Pichler
  • , Nadja Zaborsky
  • , Sigrid Machherndl-Spandl
    • Dominik Wolf, Felix Keil, Jan Hasenauer, Julian Larcher-Senn, Richard Greil

Research output: Journal article (peer-reviewed) › Journal article

1   Link opens in a new tab Citation (Scopus)

Search results