Detecting and Treating Mental Illness on Social Networks

Research output: Chapter in Book/Report/Conference proceedingOther chapter contributionpeer-review

14 Citations (Scopus)

Abstract

Mental illness is becoming a serious global health problem worldwide, with a growing number of patients suffering from depression, anxiety and other disorders. New solutions are needed to tackle this issue. The main goal of this research project is to develop prediction models to classify users with poor mental health from social network data and then implement an intervention model to help these users.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages330
Number of pages1
ISBN (Electronic)9781509048816
DOIs
Publication statusPublished - 8 Sept 2017
Event5th IEEE International Conference on Healthcare Informatics, ICHI 2017 - Park City, United States
Duration: 23 Aug 201726 Aug 2017

Conference

Conference5th IEEE International Conference on Healthcare Informatics, ICHI 2017
Country/TerritoryUnited States
CityPark City
Period23/08/201726/08/2017

Keywords

  • Machine learning
  • Mental disorders
  • Mental health
  • Predictive models

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