Machine learning could certainly find clusters, and associations with symptoms (if there are any symptoms separate from innate characteristics - it seems like the line between the two is very blurred), and classify people based on them (with relative probability) much more consistently than a psychiatrist. I think the fact all that input…
Machine learning could certainly find clusters, and associations with symptoms (if there are any symptoms separate from innate characteristics - it seems like the line between the two is very blurred), and classify people based on them (with relative probability) much more consistently than a psychiatrist. I think the fact all that inputs are so soft and squishy justifies the soft and squishy human element in making an assessment, but it does all end up seeming very arbitrary and hand-wavy.
Machine learning could certainly find clusters, and associations with symptoms (if there are any symptoms separate from innate characteristics - it seems like the line between the two is very blurred), and classify people based on them (with relative probability) much more consistently than a psychiatrist. I think the fact all that inputs are so soft and squishy justifies the soft and squishy human element in making an assessment, but it does all end up seeming very arbitrary and hand-wavy.