Systematic Evaluation of Research Progress on Natural Language Processing in Medicine Over the Past 20 Years: Bibliometric Study on PubMed.

Journal: Journal of medical Internet research
Published Date: Jan 23, 2020

Abstract

BACKGROUND: Natural language processing (NLP) is an important traditional field in computer science, but its application in medical research has faced many challenges. With the extensive digitalization of medical information globally and increasing importance of understanding and mining big data in the medical field, NLP is becoming more crucial.

Authors

  • Jing Wang
    Endoscopy Center, Peking University Cancer Hospital and Institute, Beijing, China.
  • Huan Deng
    School of Medical Informatics and Engineering, Southwest Medical University, Luzhou, China.
  • Bangtao Liu
    School of Medical Informatics and Engineering, Southwest Medical University, Luzhou, China.
  • Anbin Hu
    School of Medical Informatics and Engineering, Southwest Medical University, Luzhou, China.
  • Jun Liang
    Department of AI and IT, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, People's Republic of China.
  • Lingye Fan
    Affiliated Hospital, Southwest Medical University, Luzhou, China.
  • Xu Zheng
    Department of Orthopaedic Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Tong Wang
    School of Public Health, Shanxi Medical University, Taiyuan 030000, China; Key Laboratory of Coal Environmental Pathogenicity and Prevention (Shanxi Medical University), Ministry of Education, Taiyuan 030000, China.
  • Jianbo Lei
    Clinical Research Center, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People's Republic of China.

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