I hear you. Like I said, all attempts using decision trees have up to now failed miserably. The main problem is that for any given set of symptoms, the ~5 most

I hear you. Like I said, all attempts using decision trees have up to now failed miserably. The main problem is that for any given set of symptoms, the ~5 most likely diagnoses will be very obvious to most docs, but there will be a gigantically long distribution tail of less likely diagnoses not even worth testing for. This is especially problematic for rare diagnoses, and I'm sorry to say that your wife unfortunately fell into that category. Then come all the other UX issues, such as what search terms to use (different users will use different names), etc. I know a decision tree seems attractive to someone coming from science. But in clinical practice, it's totally useless.