@article{ref1,
title="Personal devices and smartphone applications for detection of depression",
journal="Psychiatric Annals",
year="2020",
author="Basco, M.R. and Kyrarini, M. and Makedon, F.S.",
volume="50",
number="6",
pages="255-259",
abstract="Rates of depression in youth are at historic highs, and suicide is the second most common cause of death among college-aged youth. During 2016 and 2017, the American College Health Association found that 39% of college stu-dents, at least once, &quot;felt so depressed that it was difficult to function.&quot; Depression frequently goes undetected and untreated in youth, often leading to poor academic performance, substance abuse, social dysfunction, legal difficulties, ill health, suicide attempts, or completed suicide. Crucial to pre-venting such negative consequences is the ability to recognize early warning signs of depression to provide decision-making guidance about how and where to get help. This article summarizes approaches to detect depression and depressive symptoms using sensory data collected from everyday devices widely used by students. <br><br>METHODolo-gies that raise user awareness provide an opportunity to take an action, one of which might be to seek treatment for depressive symptoms. Similar approaches may be adapted for use in other psychiatric disorders. © SLACK Incorporated.<p /><p>Language: en</p>",
language="en",
issn="0048-5713",
doi="10.3928/00485713-20200505-01",
url="http://dx.doi.org/10.3928/00485713-20200505-01"
}