Natural Language Processing for Smart Healthcare
- URL: http://arxiv.org/abs/2110.15803v1
- Date: Tue, 19 Oct 2021 02:48:44 GMT
- Title: Natural Language Processing for Smart Healthcare
- Authors: Binggui Zhou, Guanghua Yang, Zheng Shi, Shaodan Ma
- Abstract summary: Natural language processing (NLP) plays a key role in smart healthcare due to its capability of analysing and understanding human language.
We focus on feature extraction and modelling for various NLP tasks encountered in smart healthcare from a technical point of view.
In the context of smart healthcare applications employing NLP techniques, the elaboration largely attends to representative smart healthcare scenarios.
- Score: 21.059050223047926
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Smart healthcare has achieved significant progress in recent years. Emerging
artificial intelligence (AI) technologies enable various smart applications
across various healthcare scenarios. As an essential technology powered by AI,
natural language processing (NLP) plays a key role in smart healthcare due to
its capability of analysing and understanding human language. In this work we
review existing studies that concern NLP for smart healthcare from the
perspectives of technique and application. We focus on feature extraction and
modelling for various NLP tasks encountered in smart healthcare from a
technical point of view. In the context of smart healthcare applications
employing NLP techniques, the elaboration largely attends to representative
smart healthcare scenarios, including clinical practice, hospital management,
personal care, public health, and drug development. We further discuss the
limitations of current works and identify the directions for future works.
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