Detecting Negation and Scope in Chinese Clinical Notes using Character and Word Embedding

An increasing amount of computerized clinical data is becoming available with the adoption of electronic medical records (EMR). Natural language processing (NLP) and information extraction (IE) techniques have been critical parts of the pipeline to automate the EMR data mining and knowledge discovery, and have become an active research field in biomedical informatics. For example, researchers have made significant progress on clinical named entity recognition (NER), which is to detect the boundaries and identify the categories of clinical entities, and map them to concepts in standardized terminologies [2-4].

Source: Computer Methods and Programs in Biomedicine - November 22, 2016 Category: Bioinformatics Authors: Tian Kang, Shaodian Zhang, Nanfang Xu, Dong Wen, Xingting Zhang, Jianbo Lei Source Type: research