在医疗器械不良事件术语中对日英映射的评估
Ayako Yagahara1, Masahito Uesugi2, Hideto Yokoi3
1Hokkaido University of Science.
Studies in health technology and informatics
|August 8, 2025
概括
在日本 (JFMDA) 和英语 (IMDRF) 术语之间开发了一个自动不良事件术语映射系统,显示了日语翻译的准确性提高. 术语名称比定义更有效地映射出健康影响.
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.
- 药物监督 药物监督 药物监督
背景情况:
- 准确的不良事件报告对于患者安全和药物开发至关重要.
- 标准化术语有助于在药物监督中进行国际数据共享和分析.
- 跨越不良事件报告系统中的语言障碍,例如日语 (JFMDA) 和英语 (IMDRF) 术语,对于全球卫生倡议至关重要.
研究的目的:
- 开发一个自动化系统,在日语 (JFMDA) 和英语 (IMDRF) 之间绘制不良事件术语.
- 评估不同翻译方法 (官方与机器) 对映射准确性的影响.
- 为了比较术语名称与定义在自动化术语映射中的有效性.
主要方法:
- 国际医疗器械监管机构论坛 (IMDRF) 术语的分析:英语,两种机器翻译的日语版本和一个官方的日语翻译.
- 使用SentenceBERT来评估术语之间的概念相似性.
- 与精心策划的黄金标准数据集对比地图准确性的评估.
主要成果:
- 与未翻译的术语相比,将英语 (IMDRF) 术语翻译成日语显著提高了绘图准确性.
- 官方日语翻译产生了最高的映射精度,尽管在统计学上与机器翻译没有什么不同.
- 术语名称显示了更高的准确性 (约. 50%的健康影响),而不是自动映射过程中的定义.
结论:
- 自动化术语映射系统可以提高不同语言的不良事件报告的准确性.
- 虽然官方翻译表现最好,但机器翻译为提高映射精度提供了可行的替代方案.
- 专注于术语名称对于自动的不良事件映射更有效,支持手动工作和未来的系统改进.
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