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

机译：Medcat的多域临床自然语言处理：医学概念注释工具包

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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;
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1. Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit [J] . Kraljevic Zeljko, Searle Thomas, Shek Anthony, Artificial intelligence in medicine . 2021,第Jula期

机译：Medcat的多域临床自然语言处理：医学概念注释工具包
2. Evaluating the impact of pre-annotation on annotation speed and potential bias: natural language processing gold standard development for clinical named entity recognition in clinical trial announcements. [J] . Todd Lingren, Louise Deleger, Katalin Molnar, Journal of the American Medical Informatics Association : . 2014,第3期

机译：评估预批注对批注速度和潜在偏见的影响：在临床试验公告中为临床命名实体识别开发自然语言处理黄金标准。
3. Efficient Queries of Stand-off Annotations for Natural Language Processing on Electronic Medical Records: [J] . Yuan Luo, Peter Szolovits Biomedical Informatics Insights . 2016,第1期

机译：电子病历上自然语言处理的有效注释注释的有效查询：
4. Cheap, Fast, and Good Enough for the Non-biomedical Domain but is It Usable for Clinical Natural Language Processing? Evaluating Crowdsourcing for Clinical Trial Announcement Named Entity Annotations [C] . Zhai Haijun, Lingren Todd, Deleger Louise, 2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology. . 2012

机译：便宜，快速和足够用于非生物医学领域，但是可用于临床自然语言处理吗？评估众包临床试验公告命名的实体注释
5. Identification of concepts from emergency department text using natural language processing techniques and the Unified Medical Language System RTM. [D] . Travers, Debbie. 2003

机译：使用自然语言处理技术和Unified Medical Language System RTM从急诊科文本中识别概念。
6. Evaluating the impact of pre-annotation on annotation speed and potential bias: natural language processing gold standard development for clinical named entity recognition in clinical trial announcements [O] . Todd Lingren, Louise Deleger, Katalin Molnar, 2014

机译：评估预批注对批注速度和潜在偏见的影响：在临床试验公告中为自然语言处理金标准开发的临床命名实体识别
7. CLAMP – a toolkit for efficiently building customized clinical natural language processing pipelines [O] . Ergin Soysal, Jingqi Wang, Min Jiang, 2017

机译：CLAMP - 一种用于有效构建定制临床自然语言处理管道的工具包

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

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