The European Society for Blood and Marrow Transplantation - Alternating Decision Tree (EBMT-ADT) prediction model for mortality 100 days following allogeneic hematopoietic stem cell transplantation
The EBMT-ADT is machine learning based prediction model, developed and validated on a cohort of 28,236 acute leukemia patients from the EBMT Acute Leukemia Working Party registry. It estimates the risk for overall mortality 100 days following an allogeneic hematopoietic transplantation (Shouval R, Labopin M, et. al., Journal of Clinical Oncology, 2015). Though not defined as the primary objective of the study, the model is also predictive of outcomes 2 years post-transplant.
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