Intro Widget

Evidence-Based Mental Health (EBMH) updates researchers and mental health practitioners with clinical reviews, research and opinion on recent developments in the field and their clinical applications.

EBMH also features case conferences, expert commentaries and practical statistics articles which enable clinicians to learn and apply an evidence-based approach to their own clinical practice.

Submissions and article proposals are welcomed by the international editorial team, which is led by Professor Andrea Cipriani (University of Oxford).

EBMH is co-owned by BMJ, the British Psychological Society and the Royal College of Psychiatrists.

Special Issue Call for Papers - EBMH will be publishing a special issue about data science for mental health. For more information please see here

Authors

Evidence-Based Mental Health accepts submissions of a wide range of article types, including original research, reviews and perspective pieces.
 
The Author Information section provides specific article requirements to help you turn your research into an article suitable for EBMH.
 
Information is also provided on editorial policies and open access.

Call for Papers

Data Science for Mental Health – Call for Papers

 

How can we use data analysis to tackle mental health issues like depression, dementia diagnosis, and the monitoring of cognitive function?

 

We are delighted to announce that Evidence-Based Mental Health will be publishing a special issue about data science for mental health.

 

Data-driven approaches have become key in answering important scientific questions. Some areas of medicine are already benefiting from data science, such as prevention of heart disease and treatment of some cancers. For mental health and neuroscience, data science is at a relatively early stage, but there are a lot of potential applications of data science in mental health research, from aetiology, detection and diagnosis to treatment development/evaluation, disease management and health services research. This issue aims to bring together the latest research and thinking in such an innovative and fast developing field. Original articles, including quantitative or qualitative studies, clinical or systematic reviews, are welcome.

 

Deadline for submissions: 30 November 2019
Publication date: February 2020

   

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