使用控制词汇的自动应用标准化提取的数据
Caroline Foster1, Jessica Wignall1, Samuel Kovach1
1ICF, Durham, North Carolina, USA.
Environmental health perspectives
|February 13, 2024
概括
自动化工具标准化了毒理学数据,提高了人类健康风险评估的效率. 这种方法提高了监管指南研究的数据可访问性和可重复使用性.
科学领域:
- 毒理学 毒理学 毒理学
- 计算生物学 计算生物学
- 数据科学数据科学数据科学
背景情况:
- 从初级来源提取毒理终点对于系统审查和风险评估至关重要.
- 初级来源中不一致的语言使数据标准化变得复杂,增加了人工劳动.
- 标准化的终点描述对于最佳的数据利用至关重要.
研究的目的:
- 开发用于标准化提取的毒理信息的自动化工具.
- 为了尽量减少劳动力在标准化终端描述使用受控词汇的劳动力.
- 为了提高数据的一致性,创建一个协调控制的词汇交叉路口.
主要方法:
- 使用自动化工具应用增强智能方法.
- 创建了一个与统一医疗语言系统 (UMLS) 代码,BfR DevTox 术语和经合组织终端词汇协调一致的受控词汇交叉路口.
- 来自国家毒理学计划 (NTP) 和欧洲化学品署 (ECHA) 发育毒理学研究的加工提取物.
主要成果:
- 自动标准化了75%的NTP和57%的ECHA提取的终点.
- 51%的标准化终点需要手动审查准确性.
- 增强智能方法节省了大量的手工工作,并产生了宝贵的资源,如步行者交叉路口和可访问的数据集.
结论:
- 通过自动化增加人工工作,提高了为监管研究创建FAIR数据集的效率.
- 开源方法适用于其他发育毒理学数据集.
- 可定制的代码设计支持适应各种类型的研究.
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