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利用大型语言模型进行传染病监测-使用网络服务从自我报告的推特上监测COVID-19模式:内容分析

Jiacheng Xie1,2, Ziyang Zhang1,2, Shuai Zeng1,2

  • 1Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, United States.

Journal of medical Internet research
|February 20, 2025
PubMed
概括

社交媒体数据显示了COVID-19的趋势,包括新的症状和更快的恢复时间. 这种分析有助于追踪病毒.

关键词:
在 COVID-19 疫情中,他们的推特是Twitter.大型语言模型机器学习是机器学习.自然语言处理自然语言处理.自报告数据 自报告数据社交媒体分析分析

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Steps in Outbreak Investigation01:18

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In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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