通过任何其他名称:寻找正确的血命名法
Caroline Corcoran1, Rachel Bennett2, Vandana Miller1
1Laboratory for Translational Plasma Research, Department of Microbiology and Immunology, Drexel College of Medicine, Philadelphia, PA 19102 USA.
IEEE transactions on radiation and plasma medical sciences
|March 27, 2025
概括
血医学中的命名是模两可的,阻碍了研究. 一个自然语言处理模型发现没有单一术语有效地捕捉文献,强调需要在等离子体医学研究中标准化术语.
科学领域:
- 生物医学工程 生物医学工程
- 等离子体物理学的物理学
- 计算语言学 计算语言学
背景情况:
- 血医学领域使用了各种术语,如非热性血,冷血和大气压血.
- 这种术语的模糊性使文学搜索,科学讨论和跨学科合作变得复杂.
研究的目的:
- 评估等离子体医学文献搜索中使用的不同术语的流行程度和实用性.
- 量化各种分类在检索相关科学论文的有效性.
主要方法:
- 一个自然语言处理 (NLP) 模型是使用拥抱面孔变压器API和PubMed BERT.开发的.
- 该模型分析了2020-2022年间PubMed索引的约15,000篇论文,查询了"血医学"和相关术语.
- 使用精度,回忆,样本大小和模型信心来评估术语有效性,从而获得综合得分.
主要成果:
- 在12个常被分析的术语中,没有一个获得了超过0.025.5的综合有效性得分.
- 分析显示,在使用单个术语来全面搜索等离子体医学文献时,存在重大局限性.
结论:
- 对于"等离子体"来说,没有一种普遍有效的术语,可以充分代表现有的这一领域的科学文献.
- 这些发现强调了在等离子体医学研究社区中对命名标准的标准化至关重要.
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