Development and Validation of a Deep Learning Model for Earlier Detection of Cognitive Decline From Clinical Notes in Electronic Health Records.

Journal: JAMA network open
Published Date: Nov 1, 2021

Abstract

IMPORTANCE: Detecting cognitive decline earlier among older adults can facilitate enrollment in clinical trials and early interventions. Clinical notes in longitudinal electronic health records (EHRs) provide opportunities to detect cognitive decline earlier than it is noted in structured EHR fields as formal diagnoses.

Authors

  • Liqin Wang
    Brigham and Women's Hospital, Boston, MA, USA.
  • John Laurentiev
    Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
  • Jie Yang
    Key Laboratory of Development and Maternal and Child Diseases of Sichuan Province, Department of Pediatrics, Sichuan University, Chengdu, China.
  • Ying-Chih Lo
    Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
  • Rebecca E Amariglio
    Department of Neurology, Brigham and Women's Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
  • Deborah Blacker
    Department of Epidemiology, Harvard T. H. Chan School of Public Health and Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
  • Reisa A Sperling
    Department of Neurology, Brigham and Women's Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
  • Gad A Marshall
    Department of Neurology, Brigham and Women's Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
  • Li Zhou
    School of Education, China West Normal University, Nanchong, Sichuan, China.

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