Deep learning model for multi-classification of infectious diseases from unstructured electronic medical records.

Journal: BMC medical informatics and decision making
Published Date: Feb 16, 2022

Abstract

PURPOSE: Predictively diagnosing infectious diseases helps in providing better treatment and enhances the prevention and control of such diseases. This study uses actual data from a hospital. A multiple infectious disease diagnostic model (MIDDM) is designed for conducting multi-classification of infectious diseases so as to assist in clinical infectious-disease decision-making.

Authors

  • Mengying Wang
    College of Chemical Engineering and Environment, China University of Petroleum-Beijing Beijing 102249 China.
  • Zhenhao Wei
    School of Information Science and Engineering, Yanshan University, Qinhuangdao, China; The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province, Yanshan University, Qinhuangdao, China.
  • Mo Jia
    Information Management and Big Data Center, Peking University Third Hospital, Beijing, China.
  • Lianzhong Chen
    Goodwill Hessian Health Technology Co. Ltd, Beijing, China.
  • Hong Ji

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