Natural language processing
Natural language processing
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DOI：
10.31695/ijasre.2018.32708
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发表时间：
2018-05
期刊：
影响因子：
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通讯作者：
M. Sadiku;Yu Zhou;S. Musa
中科院分区：
文献类型：
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作者：
M. Sadiku;Yu Zhou;S. Musa
自然语言处理(NLP)是人工智能的一个分支，主要研究计算机对人类语言的自动理解。近年来，由于计算能力的增强和深度学习的兴起，NLP取得了很大的成功，这种成功已经扩展到生物医学和临床文本领域。NLP为发现药物相互作用、开发临床决策支持系统和促进图表审查等任务做出了贡献。本章的第一部分介绍了NLP，生物医学领域的一些常见任务，以及完成这些任务的方法。第二部分对NLP在心血管医学中的应用现状进行综述。
Abstract Natural language processing (NLP) is a subfield of artificial intelligence that is concerned with the automatic understanding of human language by computers. NLP has seen much success in recent years due to increased computing power and the rise of deep learning, and this success has extended into the domains of biomedical and clinical text. NLP has contributed to tasks such as the discovery of drug interactions, the development of clinical decision support systems, and the facilitation of chart review. Part I of this chapter provides an introduction to NLP, some common tasks in the biomedical domain, and the methods for accomplishing these tasks. Part II gives a survey of recent applications of NLP in cardiovascular medicine.