论文标题
对医疗保健知识管理的自然语言处理的系统评价
A Systematic Review of Natural Language Processing for Knowledge Management in Healthcare
论文作者
论文摘要
在数据科学的愿景下，近年来，自然语言处理（NLP）发生了范式转变。 NLP已经在文本处理中设定了里程碑，被证明是医疗领域研究人员的首选选择。本文的目的是确定NLP的潜力，特别是如何使用NLP来支持医疗保健领域的知识管理过程，从而使数据成为改善健康结果的关键和可信赖的组成部分。本文对最先进的NLP研究进行了全面的调查，其中特别关注在医疗保健领域创建，捕获，共享和应用知识的方式。我们的发现首先表明NLP的技术支持知识管理提取和医疗保健中知识捕获过程。其次，我们通过NLP提出了一个知识提取过程的概念模型。最后，我们讨论了一系列问题，挑战和提议的未来研究领域。
Driven by the visions of Data Science, recent years have seen a paradigm shift in Natural Language Processing (NLP). NLP has set the milestone in text processing and proved to be the preferred choice for researchers in the healthcare domain. The objective of this paper is to identify the potential of NLP, especially, how NLP is used to support the knowledge management process in the healthcare domain, making data a critical and trusted component in improving the health outcomes. This paper provides a comprehensive survey of the state-of-the-art NLP research with a particular focus on how knowledge is created, captured, shared, and applied in the healthcare domain. Our findings suggest, first, the techniques of NLP those supporting knowledge management extraction and knowledge capture processes in healthcare. Second, we propose a conceptual model for the knowledge extraction process through NLP. Finally, we discuss a set of issues, challenges, and proposed future research areas.
