An approach to predict the survival time of Childhood Acute Lymphoblastic Leukemia patients

Cancer is the second leading cause of death in children (after accidents). Childhood Acute Lymphoblastic Leukemia (ALL) is the most common and high risk cancer among the children. Medical practitioners make predictions about the survival time using their previous experiences and observations. They still cannot give an accurate survival prediction since the relationship between health status and survivability is still unknown. Survival time prediction (prognosis) is the task of predicting the length of time that a patient will survive. An accurate model that can predict survival time can help in the treatment and care of patients. The success of a survival prediction system will undoubtedly increase the quality of health care.