Projects per year
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.
Original language | English |
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Title of host publication | Proceedings of APPIS 2020 - 3rd International Conference on Applications of Intelligent Systems |
Editors | Nicolai Petkov, Nicola Strisciuglio, Carlos M. Travieso-Gonzalez |
Publisher | Association for Computing Machinery (ACM) |
ISBN (Electronic) | 9781450376303 |
DOIs | |
Publication status | Published - 7 Jan 2020 |
Publication series
Name | ACM International Conference Proceeding Series |
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Keywords
- comorbidity
- data mining
- health informatics
- online health forums
Projects
- 2 Finished
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Linking electronic health records with passive smartphone activity data to predict outcomes in psychotic disorders
Patel, R., McGuire, P. & Curcin, V.
14/02/2018 → 13/02/2021
Project: Research
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Symptom dimensions in first episode psychosis: predicting clinical outcomes using natural language processing
3/10/2016 → 2/10/2018
Project: Research