A practical approach towards causality mining in clinical text using active transfer learning.

Journal: Journal of biomedical informatics
Published Date: Oct 8, 2021

Abstract

OBJECTIVE: Causality mining is an active research area, which requires the application of state-of-the-art natural language processing techniques. In the healthcare domain, medical experts create clinical text to overcome the limitation of well-defined and schema driven information systems. The objective of this research work is to create a framework, which can convert clinical text into causal knowledge.

Authors

  • Musarrat Hussain
    Department of Computer Science and Engineering, Kyung Hee University, Yongin, Korea.
  • Fahad Ahmed Satti
    Department of Computer Science and Engineering, Kyung Hee University Seocheon-dong, Giheung-gu, Yongin-si, Gyeonggi-do 446-701, Republic of Korea. Electronic address: fahad.satti@oslab.khu.ac.kr.
  • Jamil Hussain
    Department of Computer Engineering, Kyung Hee University, Seocheon-dong, Giheung-gu Yongin-si, Gyeonggi-do 446-701, Korea. jamil@oslab.khu.ac.kr.
  • Taqdir Ali
    Department of Computer Engineering, Kyung Hee University, Seocheon-dong, Giheung-gu Yongin-si, Gyeonggi-do 446-701, Korea. taqdir.ali@oslab.khu.ac.kr.
  • Syed Imran Ali
    Department of Computer Science and Engineering, Kyung Hee University Seocheon-dong, Giheung-gu, Yongin-si, Gyeonggi-do 446-701, Republic of Korea. Electronic address: s.emran.a@oslab.khu.ac.kr.
  • Hafiz Syed Muhammad Bilal
    Department of Computer Science and Engineering, Kyung Hee University Seocheon-dong, Giheung-gu, Yongin-si, Gyeonggi-do 446-701, Republic of Korea. Electronic address: bilalrizvi@oslab.khu.ac.kr.
  • Gwang Hoon Park
    Department of Computer Science and Engineering, Kyung Hee University, Gyeonggi-do 17104, South Korea. Electronic address: ghpark@khu.ac.kr.
  • Sungyoung Lee
    Department of Computer Science and Engineering, Kyung Hee University, Yongin, Korea.
  • TaeChoong Chung
    Department of Computer Science and Engineering, Kyung Hee University Seocheon-dong, Giheung-gu, Yongin-si, Gyeonggi-do 446-701, Republic of Korea. Electronic address: tcchung@khu.ac.kr.

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