Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit

作者：

Highlights：

• High performance clinical information extraction supports pertinent clinical research.

• Multi-site hospital natural language processing models scale across settings.

• Flexible informatics empowers fast clinician lead research and analysis.

• Fast, scalable, flexible electronic health record information extraction.

摘要

•High performance clinical information extraction supports pertinent clinical research.•Multi-site hospital natural language processing models scale across settings.•Flexible informatics empowers fast clinician lead research and analysis.•Fast, scalable, flexible electronic health record information extraction.

论文关键词：Electronic health record information extraction,Clinical natural language processing,Clinical concept embeddings,Clinical ontology embeddings

论文评审过程：Received 7 October 2020, Revised 24 March 2021, Accepted 28 April 2021, Available online 1 May 2021, Version of Record 27 May 2021.

论文官网地址：https://doi.org/10.1016/j.artmed.2021.102083