A bibliometric analysis of natural language processing in medical research.

Journal: BMC medical informatics and decision making
Published Date: Mar 22, 2018

Abstract

BACKGROUND: Natural language processing (NLP) has become an increasingly significant role in advancing medicine. Rich research achievements of NLP methods and applications for medical information processing are available. It is of great significance to conduct a deep analysis to understand the recent development of NLP-empowered medical research field. However, limited study examining the research status of this field could be found. Therefore, this study aims to quantitatively assess the academic output of NLP in medical research field.

Authors

  • Xieling Chen
    College of Economics, Jinan University, Guangzhou, China.
  • Haoran Xie
    Department of Mathematics and Information Technology, The Education University of Hong Kong, Hong Kong, Hong Kong, Special Administrative Region of China.
  • Fu Lee Wang
    School of Science and Technology, The Open University of Hong Kong, Hong Kong, Hong Kong, Special Administrative Region of China.
  • Ziqing Liu
    The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Juan Xu
    College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, Heilongjiang Province, China. xujuanbiocc@ems.hrbmu.edu.cn.
  • Tianyong Hao
    School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, China. haoty@gdufs.edu.cn.

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