Learning thread reply structure on patient forums

Authors:
Yunzhong Liu;Feng Chen;Yi Chen
Affiliations:
Arizona State University, Tempe, AZ, USA;Carnegie Mellon University, Pittsburgh, PA, USA;New Jersey Institute of Technology, Newark, NJ, USA
Venue:
Proceedings of the 2013 international workshop on Data management & analytics for healthcare
Year:
2013

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Abstract

The thread reply structure on patient forums is important for users and automated techniques to understand the discussion content and search information effectively. However, most online patient forums only have partially labeled structures. In patient forums, the discussions by patients and caregivers contain abundance of person references, which provide strong indication of the thread reply structure. In this paper, we propose using person reference resolution, combined with a statistical machine learning model, to learn the unknown thread structure on patient forums. Our preliminary performance evaluation has verified the effectiveness of the proposed approaches.