Recent research has demonstrated the capability of behavior signals captured by smartphones and wearables for longitudinal behavior modeling. However, there is a lack of …
The rate of depression in college students is rising, which is known to increase suicide risk, lower academic performance and double the likelihood of dropping out of school. Existing …
We present a machine learning approach that uses data from smartphones and fitness trackers of 138 college students to identify students that experienced depressive symptoms …
Depression is a common mood disorder that causes severe medical problems and interferes negatively with daily life. Identifying human behavior patterns that are predictive or indicative …
RV Shah, G Grennan, M Zafar-Khan, F Alim… - Translational …, 2021 - nature.com
Depression is a multifaceted illness with large interindividual variability in clinical response to treatment. In the era of digital medicine and precision therapeutics, new personalized …
Remarkable advances in smartphone technology, especially in terms of passive sensing, have enabled researchers to passively monitor user behavior in real-time and at a …
Experience sampling has long been the established method to sample people's mood in order to assess their mental state. Smartphones start to be used as experience sampling …
Depression is a serious mental illness. The symptoms associated with depression are both behavioral (in appetite, energy level, sleep) and cognitive (in interests, mood …
There are rising rates of depression on college campuses. Mental health services on our campuses are working at full stretch. In response researchers have proposed using mobile …