A Machine Learning Based Model to Predict Two-Year Leukemia Free Survival in Cord Blood Transplantation for Acute Leukemia - a Data Mining Study, on Behalf of Eurocord, Cord Blood Committee and the Acute Leukemia Working Party of the EBMT

Background: Umbilical cord blood transplantation (UCBT) is a potentially curative therapy acute leukemia (AL) patients. Transplantation benefit must be balanced against risks, such as transplant related mortality and relapse. The complex nature of hematopoietic stem cell transplantation data (HCT), rich in interactions and possibly nonlinear associations, has motivated us to apply machine learning (ML) for predictive modeling. ML is a field of artificial intelligence and is part of the data mining approach for data analysis.