将医学语言处理系统扩展到功能状态领域。
Extending a medical language processing system to the functional status domain.
作者信息
Bales Michael, Kukafka Rita, Burkhardt Ann, Friedman Carol
机构信息
Department of Biomedical Informatics, Columbia University, New York, NY, USA.
出版信息
AMIA Annu Symp Proc. 2005;2005:888.
The World Health Organization's International Classification of Functioning, Disability, and Health (ICF) provides a common framework for describing functional status information (FSI) in health records. Given the expense of manual coding, we are investigating the use of natural language processing (NLP) for automated FSI coding. We used an existing NLP system that was originally designed to encode clinical information. The system's lexicon and coding table were modified and preprocessing and postprocessing programs were created, allowing for automated assignment of selected ICF codes.
世界卫生组织的《国际功能、残疾和健康分类》（ICF）为描述健康记录中的功能状态信息（FSI）提供了一个通用框架。鉴于手动编码的成本，我们正在研究使用自然语言处理（NLP）进行FSI自动编码。我们使用了一个最初设计用于对临床信息进行编码的现有NLP系统。对该系统的词典和编码表进行了修改，并创建了预处理和后处理程序，从而能够自动分配选定的ICF代码。
Zotero 插件