Identifying diagnosis evidence of cardiogenic stroke from Chinese echocardiograph reports.

Journal: BMC medical informatics and decision making
Published Date: Jul 9, 2020

Abstract

BACKGROUND: Cardiogenic stroke has increasing morbidity in China and brought economic burden to patient families. In cardiogenic stroke diagnosis, echocardiograph examination is one of the most important examinations. Sonographers will investigate patients' heart via echocardiograph, and describe them in the echocardiograph reports. In this study, we developed a machine learning model to automatically identify diagnosis evidences of cardiogenic stroke providing to neurologist for clinical decision making.

Authors

  • Lu Qin
    Institute of Medical Information, Chinese Academy of Medical Sciences/ Peking Union Medical College, Beijing, China.
  • Xiaowei Xu
    Department of Information Science, University of Arkansas, Little Rock, Arkansas, United States of America.
  • Lingling Ding
    Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Zixiao Li
    Beijing Tiantan Hospital, Capital Medical University, Beijing, China. lizixiao2008@hotmail.com.
  • 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.

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