梅塔特朗:推进生物医学注释,加强关系注释和协作
Ornella Irrera1, Stefano Marchesin2, Gianmaria Silvello2
1Department of Information Engineering, University of Padova, Padua, Italy. ornella.irrera@unipd.it.
BMC bioinformatics
|March 15, 2024
概括
MetaTron是一个开源工具,为研究人员简化生物医学数据注释. 它有效地支持关系提取和文档级任务,在定性和定量评估中表现优于其他工具.
科学领域:
- 生物医学信息学 生物医学信息学
- 自然语言处理自然语言处理.
- 数据科学数据科学数据科学
背景情况:
- 越来越多的生物医学数据需要有效的知识提取方法.
- 手动注释公司是耗时和昂贵的.
- 计算机辅助工具对于有效的注释至关重要.
研究的目的:
- 介绍MetaTron,一个开源的,基于Web的生物医学数据注释工具.
- 为医疗保健专家提供互动和协作注释.
- 增强用于机器学习的注释体的创建.
主要方法:
- 开发了MetaTron作为一个免费的,基于Web的,协作注释平台.
- 集成的提及级和文档级注释功能.
- 包括内置的自动预测和由本体学支持的关系注释.
主要成果:
- 在质量方面,MetaTron与TeamTat,INCEpTION,LightTag,MedTAG和兄弟进行了比较.
- 定量评估是根据时间和点击来评估业绩.
- MetaTron满足了大多数标准,并表现出卓越的性能.
结论:
- 在生物医学领域,MetaTron卓越,支持关系注释和各种文档格式 (PDF,PubMed等). ) 的情况.
- 该工具是可定制的,并提供在线和本地部署 (Docker).
- MetaTron解决了用户对高效和全面的生物医学数据注释的需求.
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