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

Theme Issue 2020:National NLP Clinical Challenges/Open Health Natural Language Processing 2019 Challenge Selected Papers (17) Machine Learning (1501) Natural Language Processing (706)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22982, first published .
Extracting Family History of Patients From Clinical Narratives: Exploring an End-to-End Solution With Deep Learning Models

Extracting Family History of Patients From Clinical Narratives: Exploring an End-to-End Solution With Deep Learning Models

Extracting Family History of Patients From Clinical Narratives: Exploring an End-to-End Solution With Deep Learning Models

Authors of this article:

Xi Yang1, 2 Author Orcid Image ;   Hansi Zhang1 Author Orcid Image ;   Xing He1 Author Orcid Image ;   Jiang Bian1, 2 Author Orcid Image ;   Yonghui Wu1, 2 Author Orcid Image
Article Authors Cited by (19) Tweetations (5) Metrics

Xi Yang   1, 2 , PhD ;   Hansi Zhang   1 , MSc ;   Xing He   1 , MSc ;   Jiang Bian   1, 2 , PhD ;   Yonghui Wu   1, 2 , PhD

1 Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, United States

2 Cancer Informatics Shared Resource, University of Florida Health Cancer Center, Gainesville, FL, United States

Corresponding Author:

  • Yonghui Wu, PhD
  • Department of Health Outcomes and Biomedical Informatics
  • College of Medicine
  • University of Florida
  • 2004 Mowry Rd
  • Gainesville, FL, 32610
  • United States
  • Phone: 1 352-294-8436
  • Email: yonghui.wu@ufl.edu