Knowledge Discovery and Hypothesis Generation from Online Patient Forums: A Research Proposal

Anne Dirkson


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
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/P19-2009.pdf