Published on in Vol 5, No 3 (2022): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40241, first published .
Identifying Caregiver Availability Using Medical Notes With Rule-Based Natural Language Processing: Retrospective Cohort Study

Identifying Caregiver Availability Using Medical Notes With Rule-Based Natural Language Processing: Retrospective Cohort Study

Identifying Caregiver Availability Using Medical Notes With Rule-Based Natural Language Processing: Retrospective Cohort Study

Journals

  1. Wu W, Holkeboer K, Kolawole T, Carbone L, Mahmoudi E. Natural language processing to identify social determinants of health in Alzheimer's disease and related dementia from electronic health records. Health Services Research 2023;58(6):1292 View
  2. Prakash R, Dupre M, Østbye T, Xu H. Extracting Critical Information from Unstructured Clinicians’ Notes Data to Identify Dementia Severity Using a Rule-Based Approach: Feasibility Study. JMIR Aging 2024;7:e57926 View
  3. Paek H, Fortinsky R, Lee K, Huang L, Maghaydah Y, Kuchel G, Wang X. Real-World Insights Into Dementia Diagnosis Trajectory and Clinical Practice Patterns Unveiled by Natural Language Processing: Development and Usability Study. JMIR Aging 2025;8:e65221 View
  4. Kashyap B, Crouse B, Fields B, Aguirre A, Ali T, Hays R, Li X, Shapiro L, Tao M, Vaughn I, Hanson L, Heyn P. How Do Researchers Identify and Recruit Dementia Caregivers? A Scoping Review. The Gerontologist 2024;65(2) View
  5. 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
  6. Martin D, Lyons J, Powers J, Daddato A, Boxer R, Bayliss E, Portz J. Systematic Identification of Caregivers of Patients Living with Dementia in the Electronic Health Record: Known Contacts and Natural Language Processing Abstract (Preprint). Journal of Medical Internet Research 2024 View