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

AI in Older Adult Care (47) Information Retrieval (363) Clinical Information and Decision Making (2070) Dementia and Cognitive Decline (741) Electronic Health Records (1378) Secondary Use of Clinical Data for Research and Surveillance (493) Diagnostic Tools in Mental Health (340)

Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57926, first published .
Extracting Critical Information from Unstructured Clinicians’ Notes Data to Identify Dementia Severity Using a Rule-Based Approach: Feasibility Study

Extracting Critical Information from Unstructured Clinicians’ Notes Data to Identify Dementia Severity Using a Rule-Based Approach: Feasibility Study

Extracting Critical Information from Unstructured Clinicians’ Notes Data to Identify Dementia Severity Using a Rule-Based Approach: Feasibility Study

Authors of this article:

Ravi Prakash1 Author Orcid Image ;   Matthew E Dupre2, 3 Author Orcid Image ;   Truls Østbye2, 4 Author Orcid Image ;   Hanzhang Xu4, 5, 6, 7 Author Orcid Image
Article Authors Cited by (7) Tweetations Metrics

Journals

  1. Shankar R, Bundele A, Mukhopadhyay A. Natural language processing of electronic health records for early detection of cognitive decline: a systematic review. npj Digital Medicine 2025;8(1) View
  2. Cheng Y, Malekar M, He Y, Bommareddy A, Magdamo C, Singh A, Westover B, Mukerji S, Dickson J, Das S. High-Throughput Phenotyping of the Symptoms of Alzheimer Disease and Related Dementias Using Large Language Models: Cross-Sectional Study. JMIR AI 2025;4:e66926 View
  3. Weisenbach S. Empowering minds: revolutionizing cognitive and emotional health assessment with stepped care and digital tools. Journal of Clinical and Experimental Neuropsychology 2025;47(6):523 View
  4. Li R, Wang X, Berlowitz D, Mez J, Lin H, Yu H. CARE-AD: a multi-agent large language model framework for Alzheimer’s disease prediction using longitudinal clinical notes. npj Digital Medicine 2025;8(1) View
  5. Xiao Y, Pan Q, Liu H, He Y, Zhang Y, Jiang N. Evaluating large language models for mild cognitive impairment among older adults: A bilingual comparison of ChatGPT, Gemini, and Kimi. Health Informatics Journal 2025;31(3) View
  6. Park Y, Kang H, Kim J, Shin S, Cho D, Rhee S, Park H, Lee K, Bae S. Development and Evaluation of SNOMED CT Automated Mapping Tool: Advancing Terminology Standardization and Semantic Interoperability. JMIR Medical Informatics 2026;14:e82670 View
  7. Rahman F, Guellil I, Hasan A, Zhang H, Falis M, Casey A, Wu H, Guthrie B, Alex B. Natural language processing for geriatric syndromes: a systematic review of methods, applications, and challenges. BMC Medical Informatics and Decision Making 2026 View