Social media is now being used to model mental well-being, and for understanding health
outcomes. Computer scientists are now using quantitative techniques to predict the …

Highlights•Mental illness is underdiagnosed but observable in online contexts.•
Characteristic language use patterns associated with depression have been identified and …

Social media has become a prominent fixture in the lives of many individuals facing the
challenges of mental illness. Social media refers broadly to web and mobile platforms that …

Depression, the most prevalent mental illness, is underdiagnosed and undertreated,
highlighting the need to extend the scope of current screening methods. Here, we use …

In the fast-paced modern world, psychological health issues like anxiety, depression and
stress have become very common among the masses. In this paper, predictions of anxiety …

Depression is viewed as the largest contributor to global disability and a major reason for
suicide. It has an impact on the language usage reflected in the written text. The key …

The increase of mental health problems and the need for effective medical health care have
led to an investigation of machine learning that can be applied in mental health problems …

Combating mental illnesses such as depression and anxiety has become a global concern.
As a result of the necessity for finding effective ways to battle these problems, machine …

Infectious disease occurs when a person is infected by a pathogen from another person or
an animal. It is a problem that causes harm at both individual and macro scales. The Korea …

Using Instagram data from 166 individuals, we applied machine learning tools to
successfully identify markers of depression. Statistical features were computationally …