Development of a quantitative index system for evaluating the quality of electronic medical records in disease risk intelligent prediction.

Journal: BMC medical informatics and decision making
PMID: 38915008

Abstract

OBJECTIVE: This study aimed to develop and validate a quantitative index system for evaluating the data quality of Electronic Medical Records (EMR) in disease risk prediction using Machine Learning (ML).

Authors

  • Jiayin Zhou
  • Jie Hao
  • Mingkun Tang
    Institute of Medical Information, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China.
  • Haixia Sun
    Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing, China.
  • Jiayang Wang
    College of Materials Science and Engineering, Zhejiang University of Technology, Hangzhou, China.
  • Jiao Li
    CAS Key Laboratory of Tropical Marine Bio-resources and Ecology, South China Sea Institute of Oceanology, Chinese Academy of Sciences Guangzhou 510301 China yinhao@scsio.ac.cn.
  • Qing Qian
    Nanjing Chervon Auto Precision Technology Co., Ltd, Nanjing 211106, China.

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