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Machine learning based predictive modeling for mortality 100 days post allogeneic hematopoietic stem cell transplantation (ALLO-HSCT) in acute leukemia: an EBMT-acute leukemia working party (ALWP) registry study
SHOUVAL, R.; LABOPIN, M.; BONDI, O. et al.
2014In Bone Marrow Transplantation, 49, p. 39
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Disciplines :
Hematology
Author, co-author :
SHOUVAL, R.
LABOPIN, M.
BONDI, O.
MISHAN-SHAMAY, H.
SHIMONI, A.
CICERI, F.
ESTEVE, J.
GIEBEL, S.
GORIN, N-C.
SCHMID, C.
ZAKARIA, I.
MOUKHTARI, L.
POLGE, E.
ALJURF, M.
KROGER, N.
CRADDOCK, C.
BACIGALUPO, A.
CORNELISSEN, J.
BARON, Frédéric  ;  Centre Hospitalier Universitaire de Liège - CHU > Hématologie clinique
UNGER, R.
NAGLER, A.
MOHTY, M.
More authors (12 more) Less
Language :
English
Title :
Machine learning based predictive modeling for mortality 100 days post allogeneic hematopoietic stem cell transplantation (ALLO-HSCT) in acute leukemia: an EBMT-acute leukemia working party (ALWP) registry study
Publication date :
March 2014
Event name :
41st Annual Meeting of the European Society for Blood and Marrow Transplantation
Event place :
Istanbul, Turkey
Event date :
du 22 mars 2015 au 25 mars 2015
By request :
Yes
Audience :
International
Journal title :
Bone Marrow Transplantation
ISSN :
0268-3369
eISSN :
1476-5365
Publisher :
Nature Publishing Group, London, United Kingdom
Volume :
49
Pages :
39
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 18 November 2015

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