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 …
C Chandler, PW Foltz, AS Cohen, TB Holmlund… - wordvec.colorado.edu
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 …