Re:The problem with metrics is a big problem for AI
by mlthoughts2018 on Saturday October 19, 2019 @10:49PM
(#21302057)
That seems more like an argument to make more data available. Presumably more people at risk of a stroke can be notified by an algorithmic assessment than could be possible trying to fit them all through actual physician screenings, no? In a public health sense, it would do more good in terms of lives saved, even if algorithmic errors cost lives in some specific cases.
Re:The problem with metrics is a big problem for AI
by Spooky23 on Sunday October 20, 2019 @03:03PM
(#21306294)
I’m familiar with programs that at scale that have been demonstrated to predict certain negative health/behavior patterns.
From a medical point of view, you can assume a 10-20% probability of a negative outcome. If you layer on other factors or behaviors in the persons life, the probability of a bad outcome approaches 90%.
Problem is, you need deeply intrusive data at scale. What are the consequences of a organization with Google/Facebook capability who also is your AI doctor? It’s easy to foresee complications.
There’s a big difference between writing a loan and missing a stroke.