Abstract
The unprompted patient experiences shared on patient forums contain a wealth of unexploited knowledge. Mining this knowledge and cross-linking it with biomedical literature, could expose novel insights, which could subsequently provide hypotheses for further clinical research. As of yet, automated methods for open knowledge discovery on patient forum text are lacking. Thus, in this research proposal, we outline future research into methods for mining, aggregating and cross-linking patient knowledge from online forums. Additionally, we aim to address how one could measure the credibility of this extracted knowledge.- Anthology ID:
- P19-2009
- Volume:
- Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
- Month:
- July
- Year:
- 2019
- Address:
- Florence, Italy
- Editors:
- Fernando Alva-Manchego, Eunsol Choi, Daniel Khashabi
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 64–73
- Language:
- URL:
- https://aclanthology.org/P19-2009
- DOI:
- 10.18653/v1/P19-2009
- Cite (ACL):
- Anne Dirkson. 2019. Knowledge Discovery and Hypothesis Generation from Online Patient Forums: A Research Proposal. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 64–73, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- Knowledge Discovery and Hypothesis Generation from Online Patient Forums: A Research Proposal (Dirkson, ACL 2019)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/P19-2009.pdf