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Yes, these things can be a factor for a specific diagnosis but why use AI when (just) going back to conditional probabilities based on groups instead of making
by RandomLensman 2y ago
Yes, these things can be a factor for a specific diagnosis but why use AI when (just) going back to conditional probabilities based on groups instead of making a true individual diagnosis? You want each diagnosis to be correct and not just a good average.
- TeMPOraL 2y agoYou always diagnose on conditional probabilities. The diagnosis is conditioned on your belief in occurrence of symptoms, which is conditioned on the observations and results of tests you make. In an ideal case, you observe well enough to make a definite diagnosis; in real case, there's always some uncertainty, plus you can't do all the tests simultaneously - which is where all those proxy factors like demographics are useful: they help prioritize tests and narrow down the diagnosis quicker.
- RandomLensman 2y agoYou don't always diagnose on conditional probabilities (a simple example is looking at an x-ray of a broken bone - no priors needed to spot the broken bone). Your knowledge guides, but it also doesn't (or shouldn't) blind you.