This paper is in the following e-collection/theme issue:

Natural Language Processing (706) Artificial Intelligence (1421) Epublishing and Open Access (86) Knowledge Translation and Implementation Science (407)

Published on in Vol 7, No 4 (2019): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13430, first published .
Impact of Automatic Query Generation and Quality Recognition Using Deep Learning to Curate Evidence From Biomedical Literature: Empirical Study

Impact of Automatic Query Generation and Quality Recognition Using Deep Learning to Curate Evidence From Biomedical Literature: Empirical Study

Impact of Automatic Query Generation and Quality Recognition Using Deep Learning to Curate Evidence From Biomedical Literature: Empirical Study

Authors of this article:

Muhammad Afzal1, 2 Author Orcid Image ;   Maqbool Hussain1 Author Orcid Image ;   Khalid Mahmood Malik2 Author Orcid Image ;   Sungyoung Lee3 Author Orcid Image
Article Authors Cited by (8) Tweetations (7) Metrics

Muhammad Afzal   1, 2 , PhD ;   Maqbool Hussain   1 , PhD ;   Khalid Mahmood Malik   2 , PhD ;   Sungyoung Lee   3 , PhD

1 Department of Software, Sejong University, Seoul, Republic of Korea

2 Department of Computer Science and Engineering, Oakland University, Rochester, MI, United States

3 Department of Computer Science and Engineering, Kyung Hee University, Yongin, Republic of Korea

Corresponding Author:

  • Sungyoung Lee, PhD
  • Department of Computer Science and Engineering
  • Kyung Hee University
  • Room 313
  • Yongin, 446-701
  • Republic of Korea
  • Phone: 82 312012514
  • Fax: 82 312022520
  • Email: sylee@oslab.khu.ac.kr