Deep Active Survival Analysis approach on Prostate Cancer treatment
Survival analysis will be done by modeling two functions, survival function and hazard function. Survival function indicate probability of patient survival while hazard function predict the probability of patient mortality given previous event. Both of this function will be approximated using Cox Proportional Hazards model.
Data set will be ran through Survival analysis to provide suitable sample which then pass through deep learning network to further identify which treatment options chemotherapy, radiotherapy and surgery, will minimize patient mortality risk.
- Analyzing the most effective treatment for prostate cancer, especially the difference between chemotherapy, radiotherapy and surgery and related mortality risk in any of each intervention
- Identify the most significant feature that produce the most effective treatment for positive outcome
Jimeng Sun (course professor - jimeng@illinois.edu)