A Chinese telemedicine-dialogue dataset annotated for named entities.

Journal: BMC medical informatics and decision making
Published Date: Nov 16, 2023

Abstract

BACKGROUND: A large collection of dialogues between patients and doctors must be annotated for medical named entities to build intelligence for telemedicine. However, since most patients involved in telemedicine deliver related named entities in informal and long multiword expressions, it is challenging to tag their telemedicine dialogue data. This study aims to address this issue.

Authors

  • Shanshan Wang
    Key Laboratory of Agri-food Safety and Quality, Institute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Ministry of Agriculture of China, Beijing, 100081, PR China.
  • Yajing Yan
    College of Computer Science-College of Software, Inner Mongolia University, Hohhot, China.
  • Rong Yan
    College of Computer Science-College of Software, Inner Mongolia University, Hohhot, China. yan_r79@126.com.
  • Ting Li
    Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Kaijie Ma
    School of Information Science, Beijing Language and Culture University, Beijing, China.
  • Yani Yan
    Obstetrics and Gynaecology Department, Peking University People's Hospital, Beijing, China.

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