> For example, in a drug therapy application, you may build a model to predict patient survival as a function of doses of different drugs; you would then use the paper's approach to find the doses that maximize predicted survival.
You mean a random survival forest?
So in this case the doses is the.. controllable independent variable?
I don't get how this work.
> the second step involves solving an optimization problem to find the drug therapy that maximizes the predicted
survival of the given patient group subject to a constraint on the predicted toxicity.
Aren't you undoing CART and making it more of a bagging problem which introduce the greedy algorithm problem that CART tries to solve from bagging?
I have to read more into this when I have time but thank you for your work in this field. My thesis is also on tree based algorithm. Always glad to see more paper in trees.
