Automatic extraction and assessment of lifestyle exposures for Alzheimer's disease using natural language processing.

Journal: International journal of medical informatics
Published Date: Aug 6, 2019

Abstract

INTRODUCTION: Previous biomedical studies identified many lifestyle exposures that could possibly represent risk factors for dementia in general or dementia due to Alzheimer's disease (AD). These lifestyle exposures are mainly mentioned in free-text electronic health records (EHRs). However, automatic extraction and assessment of these exposures using EHRs remains understudied.

Authors

  • Xin Zhou
    School of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, China.
  • Yanshan Wang
    Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
  • Sunghwan Sohn
    Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, USA.
  • Terry M Therneau
    Department of Health Science Research, Mayo Clinic, MN, USA.
  • Hongfang Liu
    Department of Artificial Intelligence & Informatics, Mayo Clinic, Rochester, MN, United States.
  • David S Knopman
    Department of Neurology, Mayo Clinic and Foundation, Rochester, MN, USA.

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