ETD

• classification
• cox regression
• pathways
• regression

The main goal of this thesis is to attempt to find out if it is possible to predict the disease progression based on the mutation in pathways by using machine learning methods.
the first step is to understand the data set. there is 3 data set used in this thesis, from clinical features of each patient and average mutation in pathways for each patient
By using regression and classification we try to find the relationship among features and the disease's progression days. Cox regression provides information about how each feature has an effect on our target variable which is the cancer progression day.