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Kinect can now be used to diagnose depression with 90% accuracy?
31–40 of 40 posts
Re: Kinect can now be used to diagnose depression with 90% accuracy?
#32Doctors tried something similar with paper forms in the 60s. It was pretty disastrous, given depression is such a complex, "3d" kind of issue. Adam Curtis explored this theme in perhaps his best series of documentaries, "The Trap" - http://www.youtube.com/watch?v=WbRApO3k_Jo
Re: Kinect can now be used to diagnose depression with 90% accuracy?
#33As usual, vague terms like "90% accuracy" are thrown around without specifying what exactly they mean. Is that a 10% false positive rate? A 10% false negative rate? 90% accuracy over a representative sample of the general population? Because the last one is what would seem to be implied, but I have a much simpler program, written in pure JavaScript, that is also 90% accurate at diagnosing Americans with depression: h…
This is a good point. The parent article doesn't link to the paper but in it they give all of their hypothesis with p values http://schererstefan.net/assets/files/scherer_etal_FG2013.pd...
Re: Kinect can now be used to diagnose depression with 90% accuracy?
#3490% isn't all that great of a result considering only about 6.7% of the US population suffers from depression each year[1] and the study was done in California. Just returning false would give you better accuracy. Still Eliza on steroids is pretty cool. Can't wait till they integrate it into emacs. [1] http://www.nimh.nih.gov/statistics/1MDD_ADULT.shtml
They give their hypothesis in the paper, and each is shown with a p value http://schererstefan.net/assets/files/scherer_etal_FG2013.pd...
Re: Kinect can now be used to diagnose depression with 90% accuracy?
#35Maybe its just most Xbox360 users are depressed about spending $400 just so they can play Halo.
Re: Kinect can now be used to diagnose depression with 90% accuracy?
#36This is interesting to me because... is there even a scientific definition of depression yet? Such that, if you have a defined list of symptoms, you are definitely depressed, and if you don't, you are definitely not depressed? If not, we're at best talking about a magnitudinal thing or a probability thing. Like a Bayesian thing where each symptom's presence updates the probability of the person being depressed, which…
There's DSM. http://en.wikipedia.org/wiki/Diagnostic_and_Statistical_Manu... Worth a look if you're interested in how mental disorders are diagnosed.
.. in the US, according to rules imposed upon the society by the high priests of Industrialized Mental Health.
Not everyone wants a pill for their un-normal quirks, yo.
Re: Kinect can now be used to diagnose depression with 90% accuracy?
#37Wow - So has those 20 question things that have been in magazines and tabloids for 40 years.....
Re: Kinect can now be used to diagnose depression with 90% accuracy?
#38As usual, vague terms like "90% accuracy" are thrown around without specifying what exactly they mean. Is that a 10% false positive rate? A 10% false negative rate? 90% accuracy over a representative sample of the general population? Because the last one is what would seem to be implied, but I have a much simpler program, written in pure JavaScript, that is also 90% accurate at diagnosing Americans with depression: h…
I think the term you're looking for is "Lies, Damned Lies, and Statistics"
Re: Kinect can now be used to diagnose depression with 90% accuracy?
#39Doctors tried something similar with paper forms in the 60s. It was pretty disastrous, given depression is such a complex, "3d" kind of issue. Adam Curtis explored this theme in perhaps his best series of documentaries, "The Trap" - http://www.youtube.com/watch?v=WbRApO3k_Jo
Well, the Kinect should give 3D data, so that should help, right? :)
Re: Kinect can now be used to diagnose depression with 90% accuracy?
#4090% isn't all that great of a result considering only about 6.7% of the US population suffers from depression each year[1] and the study was done in California. Just returning false would give you better accuracy. Still Eliza on steroids is pretty cool. Can't wait till they integrate it into emacs. [1] http://www.nimh.nih.gov/statistics/1MDD_ADULT.shtml
They give their hypothesis in the paper, and each is shown with a p value http://schererstefan.net/assets/files/scherer_etal_FG2013.pd...
p values are a measure of the accuracy of the numbers. They are measuring how close the sample mean is to the population mean. In the case of the paper, the p values represent how close the sample mean of the head gaze, eye gaze, smile intensity and smile duration measurements are to the population means of the same values.