The 90% is a misquote, good catch.
The actual accuracy is between 60-90%, depending on clusters of symptoms, and apparently that was stripped somewhere during editing. Oh well.
The actual accuracy is between 60-90%, depending on clusters of symptoms, and apparently that was stripped somewhere during editing. Oh well.
60% really means very little if it's a binary choice - flu or no. You'll be right 50% of the times no mater what.
What? Just because something is binary doesn't mean it happens half the time.
There is a lot more sophistication we can add (e.g. markov properties), these are almost first-order results.
Nonetheless important to validate with other populations. That would be a big part of testing any product.