Disease Concept-Embedding Based on the Self-Supervised Method for Medical Information Extraction from Electronic Health Records and Disease Retrieval: Algorithm Development and Validation Study.

Journal: Journal of medical Internet research
Published Date: Jan 27, 2021

Abstract

BACKGROUND: The electronic health record (EHR) contains a wealth of medical information. An organized EHR can greatly help doctors treat patients. In some cases, only limited patient information is collected to help doctors make treatment decisions. Because EHRs can serve as a reference for this limited information, doctors' treatment capabilities can be enhanced. Natural language processing and deep learning methods can help organize and translate EHR information into medical knowledge and experience.

Authors

  • Yen-Pin Chen
    Department of Emergency Medicine, National Taiwan University, 100 Taipei, Taiwan.
  • Yuan-Hsun Lo
    Department of Applied Mathematics, National Pingtung University, Pingtung City, Taiwan.
  • Feipei Lai
    Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Room 410, Barry Lam Hall, No.1, Sec.4, Roosevelt Road, Taipei, 10617, Taiwan, Republic of China.
  • Chien-Hua Huang
    Department of Emergency Medicine, National Taiwan University, 100 Taipei, Taiwan.

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