Using natural language processing to extract clinically useful information from Chinese electronic medical records.

Journal: International journal of medical informatics
Published Date: Jan 7, 2019

Abstract

AIMS: To develop a natural language processing (NLP)-based algorithm for extracting clinically useful information for patients with hepatocellular carcinoma (HCC) from Chinese electronic medical records (EMRs) and use these data for the assessment of HCC staging.

Authors

  • Liang Chen
    Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China.
  • Liting Song
    Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, Department of Infectious Diseases, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, PR China.
  • Yue Shao
    Department of Respiratory Medicine, Affiliated Zhongshan Hospital of Dalian University, Dalian, China.
  • Dewei Li
    School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China; Research Center on Fictitious Economy and Data Science, Chinese Academy of Sciences, China.
  • Keyue Ding
    Medical Genetic Institute of Henan Province, Henan Provincial People's Hospital, Henan Key Laboratory of Genetic Diseases and Functional Genomics, Henan Provincial People's Hospital of Henan University, Zhengzhou, Henan Province, PR China. Electronic address: ding.keyue@gmail.com.

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