The participants included 182 Allogeneic Hematopoietic Stem Cell Transplantation recipients with 51 attributes transplanted at Taleghani hospital, Tehran, Iran between 2009 and 2017.
In this project we have use various algorithms like Ensembles, Naive Bayes, SVM, Random Forest, and etc. in training our various machine learning models.
The code used for analysis of data and getting prediction rates is pretty simple. The code is written by Python in Spyder, Pycharm, Jupyter, Atom and Thony IDEs.