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

Big Data Analytics for Elder Care (176) Natural Language Processing (1316) Dementia and Cognitive Decline (896) Machine Learning (3281)

Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65221, first published .
3D brain with EHR and diagnosis data overlays, illustrating memory loss.

Real-World Insights Into Dementia Diagnosis Trajectory and Clinical Practice Patterns Unveiled by Natural Language Processing: Development and Usability Study

Real-World Insights Into Dementia Diagnosis Trajectory and Clinical Practice Patterns Unveiled by Natural Language Processing: Development and Usability Study

Authors of this article:

Hunki Paek1 Author Orcid Image ;   Richard H Fortinsky2 Author Orcid Image ;   Kyeryoung Lee1 Author Orcid Image ;   Liang-Chin Huang1 Author Orcid Image ;   Yazeed S Maghaydah2 Author Orcid Image ;   George A Kuchel2 Author Orcid Image ;   Xiaoyan Wang3, 4 Author Orcid Image
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Journals

  1. Steijger D, Scheper M, van der Willigen R, Christie H, de Vugt M, Verbeek H, Aarts S. Quality of Life of People Living With Dementia Residing in Nursing Homes: Secondary Analysis of Observational Data. Journal of Medical Internet Research 2026;28:e91968 View
  2. Oishi K, Adams R, Nowrangi M, Zandi P, Lyketsos C. Utilizing routinely acquired clinical neuroimaging and electronic health record data to advance precision medicine in dementia care. International Review of Psychiatry 2026:1 View