Background The mobility of an individual measured by phone-collected location data has
been found to be associated with depression; however, the longitudinal relationships (the …

Background: Most smartphones and wearables are currently equipped with location sensing
(using GPS and mobile network information), which enables continuous location tracking of …

Background: Mobile devices are increasingly used to collect location-based information from
individuals about their physical activities, dietary intake, environmental exposures, and …

Background: Is someone at home, at their friend's place, at a restaurant, or enjoying the
outdoors? Knowing the semantic location of an individual matters for delivering medical …

Background: Relapse prevention in bipolar disorder can be improved by monitoring
symptoms in patients' daily life. Smartphone apps are easy-to-use, low-cost tools that can be …

Background: Research in mental health has found associations between depression and
individuals' behaviors and statuses, such as social connections and interactions, working …

Background Depression is a prevalent mental health challenge. Current depression
assessment methods using self-reported and clinician-administered questionnaires have …

Background Major depressive disorder (MDD) is a common mental illness characterized by
persistent sadness and a loss of interest in activities. Using smartphones and wearable …

Background Although effective mental health treatments exist, the ability to match individuals
to optimal treatments is poor, and timely assessment of response is difficult. One reason for …

Background: Social anxiety is highly prevalent among college students. Current
methodologies for detecting symptoms are based on client self-report in traditional clinical …