Measurement-based and data-informed psychological therapy
Outcome measurement in the field of psychotherapy has developed considerably in the last
decade. This review discusses key issues related to outcome measurement, modeling, and …
decade. This review discusses key issues related to outcome measurement, modeling, and …
Modern views of machine learning for precision psychiatry
In light of the National Institute of Mental Health (NIMH)'s Research Domain Criteria (RDoC),
the advent of functional neuroimaging, novel technologies and methods provide new …
the advent of functional neuroimaging, novel technologies and methods provide new …
Prospective evaluation of a clinical decision support system in psychological therapy.
Objective: Thus far, most applications in precision mental health have not been evaluated
prospectively. This article presents the results of a prospective randomized-controlled trial …
prospectively. This article presents the results of a prospective randomized-controlled trial …
Measuring, predicting, and tracking change in psychotherapy
This chapter addresses fundamental issues of change in psychotherapy: how to measure,
monitor, predict change, and provide feedback on treatment outcome. The chapter starts …
monitor, predict change, and provide feedback on treatment outcome. The chapter starts …
Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment
Informatics paradigms for brain and mental health research have seen significant advances
in recent years. These developments can largely be attributed to the emergence of new …
in recent years. These developments can largely be attributed to the emergence of new …
[HTML][HTML] Machine learning-based proactive social-sensor service for mental health monitoring using twitter data
The social media platforms are considered an ecosystem of social sensors where each
social media platform user is treated as a social sensor cloud. To overcome the limitations of …
social media platform user is treated as a social sensor cloud. To overcome the limitations of …
What is the current and future status of digital mental health interventions?
The prevalence of mental disorders continues to increase, especially with the advent of the
COVID-19 pandemic. Although we have evidence-based psychological treatments to …
COVID-19 pandemic. Although we have evidence-based psychological treatments to …
A survey on wearable sensors for mental health monitoring
Mental illness, whether it is medically diagnosed or undiagnosed, affects a large proportion
of the population. It is one of the causes of extensive disability, and f not properly treated, it …
of the population. It is one of the causes of extensive disability, and f not properly treated, it …
[HTML][HTML] Machine learning methods for predicting postpartum depression: scoping review
Background Machine learning (ML) offers vigorous statistical and probabilistic techniques
that can successfully predict certain clinical conditions using large volumes of data. A review …
that can successfully predict certain clinical conditions using large volumes of data. A review …
Attitudes and perspectives towards the preferences for artificial intelligence in psychotherapy
The use of artificial intelligence (AI) in psychotherapy has been increased in recent years.
While these technologies in psychotherapy are growing, the circumstances of accepting …
While these technologies in psychotherapy are growing, the circumstances of accepting …