Author ORCID Identifier
Document Type
Conference Paper
Disciplines
Computer Sciences, Information Science, Health care sciences and services, Linguistics
Abstract
Identification of mentions of medical concepts in social media text can provide useful information for caseload prediction of diseases like Covid-19 and Measles. We propose a simple model for the automatic identification of the medical concept mentions in the social media text. We validate the effectiveness of the proposed model on Twitter, Reddit, and News/Media datasets.
DOI
https://doi.org/10.26615/978-954-452-092-2_084
Recommended Citation
Nedumpozhimana, Vasudevan; Rautmare, Sneha; Gower, Meegan; Popovic, Maja; Jain, Nishtha; Buffini, Patricia; and Kelleher, John, "Medical Concept Mention Identification in Social Media Posts using a Small Number of Sample References" (2023). Conference papers. 19.
https://arrow.tudublin.ie/diraacon/19
Funder
ADAPT Centre
Creative Commons License
This work is licensed under a Creative Commons Attribution-Share Alike 4.0 International License.
Included in
Computer Engineering Commons, Health Information Technology Commons, Medical Sciences Commons
Publication Details
Vasudevan Nedumpozhimana, Sneha Rautmare, Meegan Gower, Nishtha Jain, Maja Popović, Patricia Buffini, and John Kelleher. 2023. Medical Concept Mention Identification in Social Media Posts Using a Small Number of Sample References. In Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, pages 777–784, Varna, Bulgaria. INCOMA Ltd., Shoumen, Bulgaria.