Construction of Genealogical Knowledge Graphs From Obituaries: Multitask Neural Network Extraction System.

Journal: Journal of medical Internet research
Published Date: Aug 4, 2021

Abstract

BACKGROUND: Genealogical information, such as that found in family trees, is imperative for biomedical research such as disease heritability and risk prediction. Researchers have used policyholder and their dependent information in medical claims data and emergency contacts in electronic health records (EHRs) to infer family relationships at a large scale. We have previously demonstrated that online obituaries can be a novel data source for building more complete and accurate family trees.

Authors

  • Kai He
    Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun 130012, China.
  • Lixia Yao
    Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA.
  • Jiawei Zhang
    a Department of Pharmacy , Special Drugs R&D Center of People's Armed Police Forces , Logistics University of Chinese People's Armed Police Forces , Tianjin , China.
  • Yufei Li
    National Institute of Traditional Chinese Medicine Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, China.
  • Chen Li
    School of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China.

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