在人类乳头瘤病毒疫苗接种疫苗不良事件报告系统中的症状描述的文本挖掘
Kohei Shiota1, Megumi Horibe2, Yoko Ino3
1Laboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu, JPN.
Cureus
|October 20, 2025
概括
对人类乳头瘤病毒 (HPV) 疫苗的不良事件报告的情绪分析显示,女性使用的负面语言更多. 这凸显了关于HPV疫苗安全性和潜在反应的清晰沟通的需要.
科学领域:
- 疫苗学 疫苗学 疫苗学
- 公共卫生 公共卫生
- 文本挖掘 (Text Mining) 是一个很好的方法.
背景情况:
- 世界卫生组织确认人乳头瘤病毒 (HPV) 疫苗的安全性和有效性.
- 对于HPV疫苗的不良事件报告中使用的语言的理解有限.
- 疫苗不良事件报告系统 (VAERS) 收集有关疫苗接种后不良事件的自由文本叙述.
研究的目的:
- 分析与HPV疫苗接种相关的VAERS叙述中的词汇模式.
- 描述HPV疫苗接种后在不良事件报告中使用的描述性语言.
主要方法:
- 使用定量文本挖掘的回顾性,横截面的观察性研究.
- 从VAERS报告 (2009-2023) 中提取症状描述.
- 在R的"tidytext"包中使用AFINN词典进行情感分析.
主要成果:
- 从VAERS (2009-2023) 分析了55919个疑似不良事件.
- 大约6%的报告涉及产品处理问题.
- 情感分析表明,与男性相比,女性提交的报告中更多的负面词汇.
结论:
- 医疗保健提供者应提供有关HPV疫苗安全性和潜在副作用的全面信息.
- 准确的沟通对于支持HPV疫苗接种至关重要.
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