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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
SHOUVAL, Roni; LABOPIN, Myriam; BONDI, Ori et al.
2013In Blood, 122 (21)
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Disciplines :
Hematology
Author, co-author :
SHOUVAL, Roni
LABOPIN, Myriam
BONDI, Ori
SHAMAY, Hila Mishan
SHIMONI, Avichai
CICERI, Fabio
ESTEVE, Jordi
GIEBEL, Sebastian
GORIN, Norbert-Claude
SCHMID, Christoph
ZAKARIA, Imane
MOUKHTARI, Leila
POLGE, Emmanuelle
AL-JURF, Mahmoud
KROGER, Nicolaus
CRADDOCK, Charles
BACIGALUPO, Andrea
CORNELISSEN, Jan
BARON, Frédéric  ;  Centre Hospitalier Universitaire de Liège - CHU > Hématologie clinique
UNGER, Ron
NAGLER, Arnon
MOTHY, Mohamad
More authors (12 more) Less
Language :
English
Title :
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
Publication date :
November 2013
Event name :
55th ASH Annual Meeting and Exposition
Event place :
New Orleans, United States
Event date :
du 7 décembre 2013 au 13 décembre 2013
By request :
Yes
Audience :
International
Journal title :
Blood
ISSN :
0006-4971
eISSN :
1528-0020
Publisher :
American Society of Hematology, Washington, United States - District of Columbia
Volume :
122
Issue :
21
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 17 November 2015

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