skip to main content
10.1145/3378184.3378195acmotherconferencesArticle/Chapter ViewAbstractPublication PagesappisConference Proceedingsconference-collections
research-article

Investigating Comorbidity of Mental and Physical Disorders in Online Health Forums

Published: 17 February 2020 Publication History

Abstract

Online health forums are increasingly used by patients to share information and discuss a broad range of health conditions. In this study, we investigate the presence of comorbidity of mental and physical disorders in users of such forums. We apply natural language processing methods to identify posts where users discuss mental health problems alongside chronic physical diseases, and use data mining techniques to explore the comorbidity patterns in these posts. We compare our findings to those reported in the literature and show how the results obtained are correlated with real-life events.

References

[1]
Maryam Abdollahyan, Raúl J Mondragón, Conrad Bessant, and Fabrizio Smeraldi. 2018. Visualising the Topological Structure of Health-Related Message Board User Networks. In Applications of Intelligent Systems: Proceedings of the 1st International APPIS Conference 2018, Vol. 310. IOS Press, 274.
[2]
Alan R. Aronson and François-Michel Lang. 2010. An overview of MetaMap: historical perspective and recent advances. Journal of the American Medical Informatics Association 17, 3 (2010), 229--236.
[3]
Munmun De Choudhury, Michael Gamon, Scott Counts, and Eric Horvitz. 2013. Predicting depression via social media. In Proceedings of the 7th International AAAI Conference on Weblogs and Social Media.
[4]
Glen Coppersmith, Mark Dredze, and Craig Harman. 2014. Quantifying mental health signals in Twitter. In Proceedings of the Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality. 51--60.
[5]
Glen Coppersmith, Mark Dredze, Craig Harman, and Kristy Hollingshead. 2015. From ADHD to SAD: Analyzing the language of mental health on Twitter through self-reported diagnoses. In Proceedings of the 2nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality. 1--10.
[6]
Johannes C. Eichstaedt, Robert J. Smith, Raina M. Merchant, Lyle H. Ungar, Patrick Crutchley, Daniel Preoţiuc-Pietro, David A. Asch, and H. Andrew Schwartz. 2018. Facebook language predicts depression in medical records. Proceedings of the National Academy of Sciences 115, 44 (2018), 11203--11208.
[7]
Hee-Ju Kang, Seon-Young Kim, Kyung-Yeol Bae, Sung-Wan Kim, Il-Seon Shin, Jin-Sang Yoon, and Jae-Min Kim. 2015. Comorbidity of depression with physical disorders: research and clinical implications. Chonnam Medical Journal 51, 1 (2015), 8--18.
[8]
Chris Naylor, Michael Parsonage, David McDaid, Martin Knapp, Matt Fossey, and Amy Galea. 2012. Long-term conditions and mental health: the cost of co-morbidities. (2012).
[9]
Ted Pedersen. 2015. Screening Twitter users for depression and PTSD with lexical decision lists. In Proceedings of the 2nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality. 46--53.
[10]
H Andrew Schwartz, Johannes Eichstaedt, Margaret Kern, Gregory Park, Maarten Sap, David Stillwell, Michal Kosinski, and Lyle Ungar. 2014. Towards assessing changes in degree of depression through facebook. In Proceedings of the Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality. 118--125.
[11]
Aaron Smith. 2006. Zocor and Zoloft face patent expiration. Retrieved December 12, 2019 from https://money.cnn.com/2006/06/15/news/companies/zoloft_zocor/index.htm

Cited By

View all
  • (2022)A survey on clinical natural language processing in the United Kingdom from 2007 to 2022npj Digital Medicine10.1038/s41746-022-00730-65:1Online publication date: 21-Dec-2022
  • (2021)Analysis of mental and physical disorders associated with COVID-19 in online health forums: a natural language processing studyBMJ Open10.1136/bmjopen-2021-05660111:11(e056601)Online publication date: 5-Nov-2021

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
APPIS 2020: Proceedings of the 3rd International Conference on Applications of Intelligent Systems
January 2020
214 pages
ISBN:9781450376303
DOI:10.1145/3378184
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 February 2020

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. comorbidity
  2. data mining
  3. health informatics
  4. online health forums

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Funding Sources

Conference

APPIS 2020

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)5
  • Downloads (Last 6 weeks)0
Reflects downloads up to 28 Dec 2024

Other Metrics

Citations

Cited By

View all
  • (2022)A survey on clinical natural language processing in the United Kingdom from 2007 to 2022npj Digital Medicine10.1038/s41746-022-00730-65:1Online publication date: 21-Dec-2022
  • (2021)Analysis of mental and physical disorders associated with COVID-19 in online health forums: a natural language processing studyBMJ Open10.1136/bmjopen-2021-05660111:11(e056601)Online publication date: 5-Nov-2021

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media