Prediction Of Allogeneic Hematopoietic Stem Cell Transplantation (allo-HSCT) Related Mortality in Acute Leukemia: Generation Of a Machine Learning-Based Model Using The Data Set of The Acute Leukemia Working Party (ALWP) Of The EBMT

Roni Shouval, Myriam Labopin, Ori Bondi, Hila Mishan Shamay, Avichai Shimoni, Fabio Ciceri, Jordi Esteve, Sebastian Giebel, Norbert-Claude Gorin, Christoph Schmid, Imane Zakaria, Leila Moukhtari, Emmanuelle Polge, Mahmoud Al-Jurf, Nicolaus Kröger, Charles Craddock, Andrea Bacigalupo, Jan Cornelissen, Frederic Baron, R. UngerArnon Nagler, Mohamad Mothy

Research output: Contribution to journalArticlepeer-review

Abstract

Original languageEnglish
Pages (from-to)409
Number of pages1
JournalBlood
Volume122
Issue number21
DOIs
StatePublished - 2013

Fingerprint

Dive into the research topics of 'Prediction Of Allogeneic Hematopoietic Stem Cell Transplantation (allo-HSCT) Related Mortality in Acute Leukemia: Generation Of a Machine Learning-Based Model Using The Data Set of The Acute Leukemia Working Party (ALWP) Of The EBMT'. Together they form a unique fingerprint.

Cite this