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

Artificial Intelligence (2129) Clinical Information and Decision Making (1915) Natural Language Processing (917) Ontologies, Classifications, and Coding (324) Dementia and Cognitive Decline (696) Information Seeking, Information Needs (561) Decision Support for Health Professionals (1539) Machine Learning (2076)

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

Authors of this article:

John Laurentiev1 Author Orcid Image ;   Dae Hyun Kim1, 2, 3 Author Orcid Image ;   Mufaddal Mahesri1 Author Orcid Image ;   Kuan-Yuan Wang4 Author Orcid Image ;   Lily G Bessette1 Author Orcid Image ;   Cassandra York1 Author Orcid Image ;   Heidi Zakoul1 Author Orcid Image ;   Su Been Lee1 Author Orcid Image ;   Li Zhou1, 2 Author Orcid Image ;   Kueiyu Joshua Lin1, 2, 5 Author Orcid Image
Article Authors Cited by (6) Tweetations (3) Metrics

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
  4. Peled-Cohen L, Reichart R. A Systematic Review of NLP for Dementia: Tasks, Datasets, and Opportunities. Transactions of the Association for Computational Linguistics 2025;13:1204 View
  5. Rajput M, Bawa P, Kadyan V, Sethi M. Automated Advancements and Synergistic Challenges in Multi-Modal Clinical Assessments for Alzheimer’s Disease Diagnosis: A Comprehensive Review and Meta-Analysis. Archives of Computational Methods in Engineering 2025 View

Conference Proceedings

  1. Shakir M, Seemanta S, Shimu S, Salekin S, Arman A, Miah M, Rahman M, Mahmud M. 2025 International Joint Conference on Neural Networks (IJCNN). Optimizing Alzheimer’s Disease Diagnosis Using Ensemble Machine Learning Techniques: A Comparative Study View