A Systematic Review of Natural Language Processing for Knowledge Management in Healthcare

Abstract

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.

Bridging National Policies with Practical Rural Construction and Development: Research on a Decision Support System Based on Multi-Source Big Data and Integrated Algorithms

“…Its main advantage lies in its powerful ability to perform nonlinear mappings and form feedforward neural networks with different characteristics. Consequently, it has superseded traditional models and finds extensive application in intricate fields including control systems, natural language processing, financial and economic forecasting, and other research domains [35][36][37]. Therefore, the BP neural network is used for classifying the integrated development patterns of rural areas.…”