I have data on medical procedures completed at hospitals in major U.S hospitals. Each medical procedure is assigned a code, for example: Kidney Transplant is X6571.
I define the success criteria and create a 'good' and 'bad' binary outcome whether. I have other variables such as wait time before surgery, other medical complication, patient age, frequency of surgeries that I control for.
For each medical procedure surgery code, I'd like to obtain a probability of success score. What models / techniques would be appropriate for this problem? I am open to suggestions beyond regression models.