Identification of cancer survivors living with PTSD on social media

Nur Hafieza Ismail, Ninghao Liu, Mengnan Du, Zhe He, Xia Hu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The trauma of cancer often leaves survivors with PTSD. Tweets posted on Twitter usually reflect the users' psychological state, which is convenient for data collection. However, Twitter also contains a mix of noisy and genuine tweets. The process of manually identifying genuine tweets is expensive and time-consuming. Thus, we propose a knowledge transfer technique to filter out unrelated tweets. Our experiments show that our model outperforms the baselines.

Original languageEnglish (US)
Title of host publicationMEDINFO 2019
Subtitle of host publicationHealth and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics
EditorsBrigitte Seroussi, Lucila Ohno-Machado, Lucila Ohno-Machado, Brigitte Seroussi
PublisherIOS Press
Pages1468-1469
Number of pages2
ISBN (Electronic)9781643680026
DOIs
StatePublished - Aug 21 2019
Externally publishedYes
Event17th World Congress on Medical and Health Informatics, MEDINFO 2019 - Lyon, France
Duration: Aug 25 2019Aug 30 2019

Publication series

NameStudies in Health Technology and Informatics
Volume264
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference17th World Congress on Medical and Health Informatics, MEDINFO 2019
Country/TerritoryFrance
CityLyon
Period8/25/198/30/19

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Keywords

  • Cancer survivors
  • Post-traumatic
  • Social media
  • Stress disorders

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