Skip to main navigation Skip to search Skip to main content

Prediction of Allogeneic Hematopoietic Stem-Cell Transplantation Mortality 100 Days After Transplantation Using a Machine Learning Algorithm: A European Group for Blood and Marrow Transplantation Acute Leukemia Working Party Retrospective Data Mining Study

  • Roni Shouval
  • , Myriam Labopin
  • , Ori Bondi
  • , Hila Mishan-Shamay
  • , Avichai Shimoni
  • , Fabio Ciceri
  • , Jordi Esteve
  • , Sebastian Giebel
  • , Norbert C Gorin
  • , Christoph Schmid
  • , Emmanuelle Polge
  • , Mahmoud Aljurf
  • , Nicolaus Kroger
  • , Charles Craddock
  • , Andrea Bacigalupo
  • , Jan J Cornelissen
  • , Frederic Baron
  • , Ron Unger
  • , Arnon Nagler
  • , Mohamad Mohty

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

62 Citations (Scopus)

Fingerprint

Dive into the research topics of 'Prediction of Allogeneic Hematopoietic Stem-Cell Transplantation Mortality 100 Days After Transplantation Using a Machine Learning Algorithm: A European Group for Blood and Marrow Transplantation Acute Leukemia Working Party Retrospective Data Mining Study'. Together they form a unique fingerprint.
Sort by

Keyphrases

Nursing and Health Professions

Immunology and Microbiology

Mathematics

Pharmacology, Toxicology and Pharmaceutical Science

Agricultural and Biological Sciences