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Mobile sensing-based depression severity assessment in participants with heterogeneous mental health conditions

Medicine and Health

Mobile sensing-based depression severity assessment in participants with heterogeneous mental health conditions

B. Lamichhane, N. Moukaddam, et al.

Mobile sensing augmented with free-living audio captures sociability signals that improve depression severity assessment across healthy and clinical populations. In a weeklong study with healthy, major depressive disorder, and schizoaffective participants, adding audioband-derived sociability features reduced RMSE from 6.80 to 6.07, boosted five-class F1 from 0.34 to 0.46, and achieved a strong correlation (r=0.76, p<0.001) with reported severity. Research was conducted by Bishal Lamichhane, Nidal Moukaddam, and Ashutosh Sabharwal.... show more
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