The use of data generated passively by personal electronic devices, such as smartphones,
to measure human function in health and disease has generated significant research …

Background The perinatal period is a vulnerable time during which depression and anxiety
commonly occur. If left untreated or undertreated, there may be significant adverse effects; …

Among individuals diagnosed, hospitalized, and treated for schizophrenia, up to 40% of
those discharged may relapse within 1 year even with appropriate treatment. Passively …

Mood inference with mobile sensing data has been studied in ubicomp literature over the
last decade. This inference enables context-aware and personalized user experiences in …

Multidimensional integrative data analysis of digital phenotyping is crucial for elucidating the
pathologies of multifactorial and heterogeneous diseases, such as the dry eye (DE). This …

Social impairment is a cardinal feature of schizophrenia spectrum disorders (SZ). Smaller
social network size, diminished social skills, and loneliness are highly prevalent. Existing …

Objective Negative symptoms and functional outcome have traditionally been assessed
using clinical rating scales, which rely on retrospective self-reports and have several …

One of the most significant issues of our time is how stress affects depression and how
depression affects stress. The aim of this paper is to provide a brief overview of IoT use in …

In the United States (US), Black women in the perinatal period disproportionately experience
higher rates of mental health challenges like anxiety and postpartum depression. Digital …

Background The broad availability of smartphones and the number of health apps in app
stores have risen in recent years. Health apps have benefits for individuals (eg, the ability to …