Published on in Vol 9, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22797, first published .
A Hybrid Model for Family History Information Identification and Relation Extraction: Development and Evaluation of an End-to-End Information Extraction System

A Hybrid Model for Family History Information Identification and Relation Extraction: Development and Evaluation of an End-to-End Information Extraction System

A Hybrid Model for Family History Information Identification and Relation Extraction: Development and Evaluation of an End-to-End Information Extraction System

Youngjun Kim   1 , PhD ;   Paul M Heider   1 , PhD ;   Isabel RH Lally   2 ;   Stéphane M Meystre   1 , PhD, MD

1 Biomedical Informatics Center, Medical University of South Carolina, Charleston, SC, United States

2 Department of Computer Science, College of Charleston, Charleston, SC, United States

Corresponding Author:

  • Youngjun Kim, PhD
  • Biomedical Informatics Center
  • Medical University of South Carolina
  • 22 WestEdge Street Suite 200/Room WG213
  • Charleston, SC, 29403
  • United States
  • Phone: 1 843-792-4268
  • Email: youngjun.kim.res@gmail.com