CLAMP - a toolkit for efficiently building customized clinical natural language processing pipelines.

ABSTRACT: Existing general clinical natural language processing (NLP) systems such as MetaMap and Clinical Text Analysis and Knowledge Extraction System have been successfully applied to information extraction from clinical text. However, end users often have to customize existing systems for their individual tasks, which can require substantial NLP skills. Here we present CLAMP (Clinical Language Annotation, Modeling, and Processing), a newly developed clinical NLP toolkit that provides not only state-of-the-art NLP components, but also a user-friendly graphic user interface that can help users quickly build customized NLP pipelines for their individual applications. Our evaluation shows that the CLAMP default pipeline achieved good performance on named entity recognition and concept encoding. We a

SUBMITTER: Soysal E 

PROVIDER: S-EPMC7378877 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature