Mental health disorders are increasing in occurrence. They are the largest cause of disability
worldwide and the strongest predictor of suicide. Despite their prevalence, the majority of …

Sensors in everyday devices, such as our phones, wearables, and computers, leave a
stream of digital traces. Personal sensing refers to collecting and analyzing data from …

Unlike most other health conditions, the treatment of mental illness relies on subjective
measurement. In addition, the criteria for diagnosing mental illnesses are based on broad …

Mental illness is widespread in our society, yet remains difficult to treat due to challenges
such as stigma and overburdened health care systems. New paradigms are needed for …

Psychiatric patients, such as those suffering from depression or schizophrenia, often need to
be monitored with frequent clinical interviews by trained professionals to avoid costly …

Traditional mental health assessment collects data at a single point in time, which does not
provide a comprehensive picture of an individual's mental health over an extended period …

Domains where human behavior understanding is a crucial need (eg, robotics, human-
computer interaction, affective computing, and social signal processing) rely on advanced …

As mental health (MH) disorders become increasingly prevalent, their multifaceted
symptoms and comorbidities with other conditions introduce complexity to diagnosis, posing …

The rise in mental health disorders and the demand for appropriate medical treatment have
motivated researchers to look into machine learning (ML) applications in mental health. The …

Mental health is an urgent global issue. Around 450 million people suffer from serious
mental illnesses worldwide, which results in devastating personal outcomes and huge …