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

Ravi Prakash   1 , MS ;   Matthew E Dupre   2, 3 , PhD ;   Truls Østbye   2, 4 , MPH, MD ;   Hanzhang Xu   4, 5, 6, 7 , PhD, RN

1 Thomas Lord Department of Mechanical Engineering and Materials Science, Pratt School of Engineering, Duke University, Durham, NC, United States

2 Department of Population Health Sciences, School of Medicine, Duke University, Durham, NC, United States

3 Department of Sociology, Trinity College of Arts & Sciences, Duke University, Durham, NC, United States

4 Department of Family Medicine and Community Health, School of Medicine, Duke Univeristy, Durham, NC, United States

5 School of Nursing, Duke University, Durham, NC, United States

6 Center for the Study of Aging and Human Development, Duke University, Durham, NC, United States

7 Health Services and Systems Research (HSSR), Duke-NUS Medical School, Singapore, Singapore

Corresponding Author:

  • Hanzhang Xu, PhD, RN
  • Department of Family Medicine and Community Health
  • School of Medicine
  • Duke Univeristy
  • 2100 Erwin Rd
  • Durham, NC, 27710
  • United States
  • Phone: 1 9196849465
  • Email: hanzhang.xu@duke.edu