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

Natural Language Processing (692) Clinical Informatics (1022) Electronic Health Records (1053) Machine Learning (1465) Theme Issue 2020:National NLP Clinical Challenges/Open Health Natural Language Processing 2019 Challenge Selected Papers (17)

Published on in Vol 8, No 12 (2020): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21750, first published .
Family History Information Extraction With Neural Attention and an Enhanced Relation-Side Scheme: Algorithm Development and Validation

Family History Information Extraction With Neural Attention and an Enhanced Relation-Side Scheme: Algorithm Development and Validation

Family History Information Extraction With Neural Attention and an Enhanced Relation-Side Scheme: Algorithm Development and Validation

Authors of this article:

Hong-Jie Dai1, 2, 3 Author Orcid Image ;   You-Qian Lee1 Author Orcid Image ;   Chandini Nekkantti4 Author Orcid Image ;   Jitendra Jonnagaddala5 Author Orcid Image
Article Authors Cited by (7) Tweetations (3) Metrics

Hong-Jie Dai   1, 2, 3 , PhD ;   You-Qian Lee   1 , BEng ;   Chandini Nekkantti   4 , BTech ;   Jitendra Jonnagaddala   5 , PhD

1 College of Electrical Engineering and Computer Science, Department of Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung City, Taiwan

2 School of Post-Baccalaureate Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan

3 National Institute of Cancer Research, National Health Research Institutes, Tainan, Taiwan

4 CGD Health Pty Ltd, Belconnen, Australia

5 School of Public Health and Community Medicine, University of New South Wales, Sydney, Australia

Corresponding Author:

  • Hong-Jie Dai, PhD
  • College of Electrical Engineering and Computer Science
  • Department of Electrical Engineering
  • National Kaohsiung University of Science and Technology
  • No. 415, Jiangong Road, Sanmin District
  • Kaohsiung City, 807
  • Taiwan
  • Phone: 886 7-3814526 ext 15510
  • Fax: 886 7-3921073
  • Email: hjdai@nkust.edu.tw