Clinical questionnaire filling based on question answering framework.

Journal: International journal of medical informatics
Published Date:

Abstract

BACKGROUND: Electronic Health Records (EHR) are the foundation of much medical research. However, analyzing the text data of EHRs directly is an challenging task. Therefore, physicians often use questionnaires to first convert text data to structured data. Filling in these questionnaires requires a considerable amount of time and medical knowledge. It is a significant task to develop an algorithm to make computers fill out these questionnaires automatically.

Authors

  • Jiangtao Ren
    School of Data and Computer Science, Guangdong Province Key Lab of Computational Science, Sun Yat-Sen University, Guangzhou, Guangdong 510006, PR China. Electronic address: issrjt@mail.sysu.edu.cn.
  • Naiyin Liu
    School of Data and Computer Science, Guangdong Province Key Lab of Computational Science, Sun Yat-sen University, Guangdong 510275, People's Republic of China.
  • Xiaojing Wu
    School of Data and Computer Science, Guangdong Province Key Lab of Computational Science, Sun Yat-sen University, Guangdong 510275, People's Republic of China.