第八届社会媒体挖掘健康应用 (#SMM4H) 的概述在AMIA 2023年度研讨会上分享任务
Ari Z Klein1, Juan M Banda2, Yuting Guo3
1Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA 19104, United States.
Journal of the American Medical Informatics Association : JAMIA
|January 13, 2024
概括
社交媒体挖掘健康应用 (#SMM4H) 任务通过解决社交媒体数据中的NLP挑战来推动健康信息学. 顶级系统使用变压器模型进行分类,使未来的研究成为可能.
科学领域:
- 医疗信息学 医疗信息学
- 自然语言处理自然语言处理.
- 机器学习 机器学习
背景情况:
- 社交媒体挖掘健康应用 (#SMM4H) 倡议解决了使用社交媒体数据用于健康信息学的挑战.
- 本文详细介绍了第八次#SMM4H共享任务的注释体,系统摘要和性能结果.
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