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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

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