一种对知识图的可视化方法,用于计算和理解超声报告
Jiayi Feng1, Runtong Zhang1, Donghua Chen2
1Department of Information Management, Beijing Jiaotong University, Beijing 100044, China.
Biomimetics (Basel, Switzerland)
|December 22, 2023
概括
本研究介绍了一种智能方法,用于使用知识图可视化分析超声波报告. 它改善了临床概念提取和知识表现,以改善医疗决策.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
- 放射学 信息学 信息学
背景情况:
- 知识图的可视化对于改善医疗决策和超声诊断中的计算机辅助分析至关重要.
- 目前用于从非结构化超声报告中提取和可视化知识的方法有限.
研究的目的:
- 通过知识图形可视化提出一种智能方法来分析超声波报告.
- 增强临床概念的提取和改善超声波知识的结构化表示.
主要方法:
- 开发了一种新的方法,从超声波报告叙述中精确地提取关键词网络.
- 提出了一个知识表示框架,用于对超声波报告数据进行结构化和直观的可视化.
- 引入了一个知识图完成模型,以解决实体稀疏性并提高可视化准确性.
主要成果:
- 与传统方法 (2.12) 相比,获得了明显更高的提取指数 (η = 2.69).
- 超越了最先进的方法,在三个数据集中获得了最高的P (0.85),R (0.89) 和F1 (0.87) 分数.
- 证明了嵌入式知识的有效利用,用于准确的临床信息检索.
结论:
- 提出的智能方法有效地从复杂的超声波报告中提取和可视化知识.
- 这种方法提高了用于临床决策支持的超声波知识的准确性.
- 该方法在利用医疗成像报告中的非结构化数据方面取得了重大进展.
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