Identifying Medications that Patients Stopped Taking in Online Health Forums

J. Cho, T. Gao, Roxana Girju

Research output: Contribution to conferencePaperpeer-review


Patients may stop taking medications after a certain point for various reasons, such as severe side effects, prohibitive costs, or ineffective treatments. Being able to analyze the reason patients stop taking medications is very important to medical practitioners, for example, who can come up with new treatment plans, prescribe different medication if there are side effects. In this paper, we focus on online health forums and define the problem as a binary classification task (i.e., if a patient has stopped taking a medication or not). We chose to focus on health forums here since these are the platforms usually patients go to ask for support online. We propose linguistics features of various complexity and present an in-depth analysis of the results which give us new insights into the task at hand.

Original languageEnglish (US)
Number of pages8
StatePublished - Mar 29 2017
Event11th International Conference on Semantic Computing - San Diego, United States
Duration: Jan 1 2017 → …


Conference11th International Conference on Semantic Computing
Abbreviated titleIEEE ICSC
Country/TerritoryUnited States
CitySan Diego
Period1/1/17 → …


  • Health forums
  • classification
  • drug
  • health informatics
  • medication
  • online forums

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Computer Networks and Communications


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