Abstract

Online health forums provide a large repository for patients, caregivers, and researchers to seek valuable information. The extraction of patient-reported personal health experience from the forums has many important applications. For example, medical researchers can discover trustable knowledge from the extracted experience. Patients can search for peers with similar experience and connect with them. In this paper, we model the extraction of patient experience as a classification problem: classifying each sentence in a forum post as containing patient experience or not containing patient experience. We propose to exploit the sentence context information for such experience extraction task, and classify the context information into global context and local context. A unified Context-Aware Experience Extraction (CARE) framework is proposed to incorporate these two types of context information. Our experimental results show that the global context can significantly improve the experience extraction accuracy, while the local context can also improve the performance when less labeled data is available.

Original languageEnglish (US)
Title of host publicationProceedings - 2015 IEEE International Conference on Healthcare Informatics, ICHI 2015
EditorsWai-Tat Fu, Prabhakaran Balakrishnan, Sanda Harabagiu, Fei Wang, Jaideep Srivatsava
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages42-47
Number of pages6
ISBN (Electronic)9781467395489
DOIs
StatePublished - Dec 8 2015
Event3rd IEEE International Conference on Healthcare Informatics, ICHI 2015 - Dallas, United States
Duration: Oct 21 2015Oct 23 2015

Publication series

NameProceedings - 2015 IEEE International Conference on Healthcare Informatics, ICHI 2015

Other

Other3rd IEEE International Conference on Healthcare Informatics, ICHI 2015
CountryUnited States
CityDallas
Period10/21/1510/23/15

ASJC Scopus subject areas

  • Health Informatics

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  • Cite this

    Liu, Y., Chen, Y., Tang, J., & Liu, H. (2015). Context-aware experience extraction from online health forums. In W-T. Fu, P. Balakrishnan, S. Harabagiu, F. Wang, & J. Srivatsava (Eds.), Proceedings - 2015 IEEE International Conference on Healthcare Informatics, ICHI 2015 (pp. 42-47). [7349672] (Proceedings - 2015 IEEE International Conference on Healthcare Informatics, ICHI 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICHI.2015.11