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

Zeljko Kraljevic,Thomas Searle,Anthony Shek,Lukasz Roguski,Kawsar Noor,Daniel Bean,Aurelie Mascio,Leilei Zhu,Amos A. Folarin,Angus Roberts,Rebecca Bendayan,Mark P. Richardson,Robert Stewart,Anoop D. Shah,Wai Keong Wong,Zina Ibrahim,James T. Teo,Richard J.B. Dobson

Artificial Intelligence in Medicine（2021）

引用 119|浏览441

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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.

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关键词

Electronic health record information extraction,Clinical natural language processing,Clinical concept embeddings,Clinical ontology embeddings

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