Artificial Intelligence Learning Semantics via External Resources for Classifying Diagnosis Codes in Discharge Notes.

Journal: Journal of medical Internet research
Published Date: Nov 6, 2017

Abstract

BACKGROUND: Automated disease code classification using free-text medical information is important for public health surveillance. However, traditional natural language processing (NLP) pipelines are limited, so we propose a method combining word embedding with a convolutional neural network (CNN).

Authors

  • Chin Lin
    School of Public Health, National Defense Medical Center, Taipei, Taiwan.
  • Chia-Jung Hsu
    Planning and Management Office, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
  • Yu-Sheng Lou
    School of Public Health, National Defense Medical Center, Taipei, Taiwan.
  • Shih-Jen Yeh
    Da-Yeh University, Changhua, Taiwan.
  • Chia-Cheng Lee
    Planning and Management Office, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
  • Sui-Lung Su
    School of Public Health, National Defense Medical Center, Taipei, Taiwan.
  • Hsiang-Cheng Chen
    Division of Rheumatology/Immunology/Allergy, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.

Keywords

External Resources

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