Background: Health researchers are increasingly using natural language processing (NLP)
to study various mental health conditions using both social media and electronic health …

The concept of intelligent health (iHealth) in mental healthcare integrates artificial
intelligence (AI) and Big Data analytics. This article is an attempt to outline ethical aspects …

In 2017 the tech giant IBM stated that artificial intelligence (AI) will transform the delivery of
mental health care over the next five years by helping clinicians better predict, monitor and …

Mental disorders are highly prevalent and often remain untreated. Many limitations of
conventional face-to-face psychological interventions could potentially be overcome through …

Introduction Digital health interventions are an effective way to treat depression, but it is still
largely unclear how patients' individual symptoms evolve dynamically during such …

According to several global burdens of disease reports, mental health issues are a leading
cause of disease burden. A worrying trend is the increasing contribution of college students …

Therapeutic Alliance (TA) has been consistently reported as a robust predictor of therapy
outcomes and is one of the most investigated therapy relational factors. Research on …

Background Digital health interventions (DHIs) are poised to reduce target symptoms in a
scalable, affordable, and empirically supported way. DHIs that involve coaching or clinical …

With the need for psychological help long exceeding the supply, finding ways of scaling, and
better allocating mental health support is a necessity. This paper contributes by investigating …

Objective This study proposes a way of increasing dataset sizes for machine learning tasks
in Internet-based Cognitive Behavioral Therapy through pooling interventions. To this end, it …