Detecting and Treating Mental Illness on Social Networks

Akkapon Wongkoblap; Miguel A. Vadillo; Vasa Curcin

doi:10.1109/ICHI.2017.24

Detecting and Treating Mental Illness on Social Networks

Akkapon Wongkoblap, Miguel A. Vadillo, Vasa Curcin

Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution › peer-review

16 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 language	English
Title of host publication	Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	330
Number of pages	1
ISBN (Electronic)	9781509048816
DOIs	https://doi.org/10.1109/ICHI.2017.24
Publication status	Published - 8 Sept 2017
Event	5th IEEE International Conference on Healthcare Informatics, ICHI 2017 - Park City, United States Duration: 23 Aug 2017 → 26 Aug 2017

Conference

Conference	5th IEEE International Conference on Healthcare Informatics, ICHI 2017
Country/Territory	United States
City	Park City
Period	23/08/2017 → 26/08/2017

Keywords

Machine learning
Mental disorders
Mental health
Predictive models

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ICHI.2017.24

Cite this

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Wongkoblap, A , Vadillo, MA & Curcin, V 2017, Detecting and Treating Mental Illness on Social Networks. in Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017., 8031168, Institute of Electrical and Electronics Engineers Inc., pp. 330, 5th IEEE International Conference on Healthcare Informatics, ICHI 2017, Park City, United States, 23/08/2017. https://doi.org/10.1109/ICHI.2017.24

Detecting and Treating Mental Illness on Social Networks. / Wongkoblap, Akkapon ; Vadillo, Miguel A.; Curcin, Vasa.
Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 330 8031168.

Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution › peer-review

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AU - Curcin, Vasa

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N2 - 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.

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KW - Mental health

KW - Predictive models

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Detecting and Treating Mental Illness on Social Networks

Abstract

Conference

Keywords

UN SDGs

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