Jonathan Edwards
Senior Member (Voting Rights)
Why didn't Morten look for a single measure to differentiate PWME from healthy people?
I presume that no single measure comes anywhere near that. So this technique is not going to be a step towards that - there isn't one.
But my real point is that a test that differentiates is not actually what we are looking for. You can differentiate PWME from healthy people by asking them about their symptoms. The point of doing tests is to establish some objective evidence of a process that gives us enough insight into how the illness might come about to convince us it tells us something useful.
Specificities and sensitive are not important. If a metabolic screen showed that 30% of PWME had a level of A above the 95th centile and a level of B below the 50th centile (such that this combination occurred in no more than a few per cent of healthy people) where A is normally regulated by or along with B in some known way in which they normally tended to go up and down together then we would be motoring. We would have good evidence that at least 30% of PWME seemed to have something wrong with a pathway involving A and B.
In simpler terms I think it is probably fair to say that one is unlikely to get a useful result from machine learning for a test of diagnostic level for individual patients unless at least one measure shows a robust statistical difference across a population. For instance, at minimum we would expect 70% of levels of A for PWME to be above the 50th centile. It is just about conceivable that machine learning would pick up some subtle multiple imbalance without this but in general terms diseases are not as obscure as that.