Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47739, first published .
Identifying Functional Status Impairment in People Living With Dementia Through Natural Language Processing of Clinical Documents: Cross-Sectional Study

Identifying Functional Status Impairment in People Living With Dementia Through Natural Language Processing of Clinical Documents: Cross-Sectional Study

Identifying Functional Status Impairment in People Living With Dementia Through Natural Language Processing of Clinical Documents: Cross-Sectional Study

Journals

  1. Shakeri A, Farmanbar M. Natural language processing in Alzheimer's disease research: Systematic review of methods, data, and efficacy. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 2025;17(1) View
  2. Coleman B, Corcoran K, Brandt C, Goulet J, Luther S, Lisi A. Identifying Patient-Reported Outcome Measure Documentation in Veterans Health Administration Chiropractic Clinic Notes: Natural Language Processing Analysis. JMIR Medical Informatics 2025;13:e66466 View
  3. Collyer T, Liu M, Beare R, Andrew N, Ung D, Carver A, Ilomaki J, Bell J, Thrift A, Rocca W, St Sauver J, Lu A, Siostrom K, Moran C, Roberts H, Chong T, Murray A, Ravipati T, O'Bree B, Srikanth V. Dual‐stream algorithms for dementia detection: Harnessing structured and unstructured electronic health record data, a novel approach to prevalence estimation. Alzheimer's & Dementia 2025;21(5) View