Researching Mental Health Disorders in the Era of Social Media: Systematic Review.

ABSTRACT:

Background

Mental illness is quickly becoming one of the most prevalent public health problems worldwide. Social network platforms, where users can express their emotions, feelings, and thoughts, are a valuable source of data for researching mental health, and techniques based on machine learning are increasingly used for this purpose.

Objective

The objective of this review was to explore the scope and limits of cutting-edge techniques that researchers are using for predictive analytics in mental health and to review associated issues, such as ethical concerns, in this area of research.

Methods

We performed a systematic literature review in March 2017, using keywords to search articles on data mining of social network data in the context of common mental health disord

SUBMITTER: Wongkoblap A 

PROVIDER: S-EPMC5509952 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature