Background Uncertainty surrounds the ethical and legal implications of algorithmic and data-
driven technologies in the mental health context, including technologies characterized as …

Background Machine learning (ML) offers vigorous statistical and probabilistic techniques
that can successfully predict certain clinical conditions using large volumes of data. A review …

Depression is a prevalent sickness, spreading worldwide with potentially serious
implications. Timely recognition of emotional responses plays a pivotal function at present …

Depression is one of the leading causes of suicide worldwide. However, a large percentage
of cases of depression go undiagnosed and, thus, untreated. Previous studies have found …

A major psychological problem that numerous new mothers experience is postpartum
depression (PPD). A woman's capacity to care for herself and her child may be hampered by …

Depression has become one of the most widespread mental health disorders across the
globe. Depression is a state of mind which affects how we think, feel, and act. The number of …

Background Postpartum depression (PPD) presents a serious health problem among
women and their families. Machine learning (ML) is a rapidly advancing field with increasing …

Depression is a common mental health disorder that affects an individual's moods, thought
processes and behaviours negatively, and disrupts one's ability to function optimally. In most …

Depression has become one of the most common mental illnesses, and the widespread use
of social media provides new ideas for detecting various mental illnesses. The purpose of …

Postpartum depression (PPD) is one of the most prevalent mental health disorder following
childbirth. Mothers utilize social media and online forums throughout postpartum to seek …