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Well, it's quite simple.

Right now the quality of a diagnosis depends heavily on the experience of the doctor. One of the problems is that even an experienced doctor has little experience with rare conditions.

In this age of data-science, we can replace the doctor's diagnosis with a number of standard diagnostic tests (observations), which can be performed by a nurse and/or lab-worker. The diagnosis is then determined based on "correlation" with a data-set, collected over an entire population.

The best possible treatment plan can also be computed based on this diagnosis (which could be more refined than a doctor could possibly make, because it can work with probabilities instead of a single outcome).




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