Biomedical Informatics Center, Medical University of South Carolina, Charleston, SC, USA.
College of Medicine, Medical University of South Carolina, Charleston, SC, USA.
Stud Health Technol Inform. 2022 Jun 6;290:1062-1063. doi: 10.3233/SHTI220268.
A new natural language processing (NLP) application for COVID-19 related information extraction from clinical text notes is being developed as part of our pandemic response efforts. This NLP application called DECOVRI (Data Extraction for COVID-19 Related Information) will be released as a free and open source tool to convert unstructured notes into structured data within an OMOP CDM-based ecosystem. The DECOVRI prototype is being continuously improved and will be released early (beta) and in a full version.
我们正在开发一种新的自然语言处理 (NLP) 应用程序,用于从临床文本记录中提取与 COVID-19 相关的信息,这是我们应对大流行努力的一部分。这个名为 DECOVRI(用于 COVID-19 相关信息的数据提取)的 NLP 应用程序将作为免费的开源工具发布,以便在基于 OMOP CDM 的生态系统中将非结构化的记录转换为结构化的数据。DECOVRI 原型正在不断改进,并将提前(测试版)和全面版本发布。