Neural Network Approaches To Survival Analysis
Predicting the probable survival for a patient can be very challenging for many diseases. In many forms of cancer, the choice of treatment can be directly impacted by the estimated risk for the patient. This thesis explores different methods to predict the patient's survival chances using artificial neural networks (ANN). ANN is a machine learning technique inspired by how neurons in the brain fu
