Characterisation of mental health conditions in social media using Informed Deep Learning.

ABSTRACT: The number of people affected by mental illness is on the increase and with it the burden on health and social care use, as well as the loss of both productivity and quality-adjusted life-years. Natural language processing of electronic health records is increasingly used to study mental health conditions and risk behaviours on a large scale. However, narrative notes written by clinicians do not capture first-hand the patients' own experiences, and only record cross-sectional, professional impressions at the point of care. Social media platforms have become a source of 'in the moment' daily exchange, with topics including well-being and mental health. In this study, we analysed posts from the social media platform Reddit and developed classifiers to recognise and classify posts related to

SUBMITTER: Gkotsis G 

PROVIDER: S-EPMC5361083 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature