It could be anything from a regression to DL, to who knows what else. Even in the simple case, say a linear regression with all the assumptions satisfied, pred

It could be anything from a regression to DL, to who knows what else. Even in the simple case, say a linear regression with all the assumptions satisfied, predictions are interpretable as means, which is to say that (and again, assumptions holding, errors are normally distributed) half of observations fall below the mean and half above it. Using the mean in a normative capacity implies that half of patients will get kicked out before they would otherwise end their treatment. There are ways around this, like quantile regression, or using prediction intervals, but again, we don't know the specifics of the method which leaves us in the dark as to the specific way the problem manifests.